Recorded Webinar: Will camera technology combining ANPR become a standard ITS data sensor

good afternoon everyone I will be beginning the webinar thank you for joining us for our visions second I TS webinar in regards to will camera technology combining am PR become a standard i TS data center I am Francis ova der maler Jurgen Patterson will be providing this presentation or giving this presentation but we’d like to thank you guys again for joining us and without further ado let me turn it over to your good Thank You Francis and hello everybody I can see we’ve got some friends on from mainly north american this time but earlier on we were joined by friends from asia and europe um a quick overview of what we’ll be discussing today i am going to change a little bit when we started putting this together when i sent out the notifications we were talking mainly about a NPR as i did more research and became more aware of what was happening i think it just really needs to be how camera technologies can be can be used as a standard i TS data center because i can’t bear in mind that a NPR is just one of the elements that can actually identify different vehicles etc so today there’s not that many slides there’s only about 15 odd slides which is a lot less than the world’s last time but those slides are pretty busy so anybody knows me knows I don’t read those slides so if you have any questions please just drop an email or a drop of a message over to Francis I’ll give him something to do for change and agnostic he can ask the questions as they come up and let’s keep this little interactive and a little light-hearted and move forward now I’m right in assuming that they were the presentations are being displayed on the on the website and the webinar presentation itself is being displayed in the website right and I also believe the question answers from the previous one also up now as well is that right Francis that’s correct you should be able to access the first present first webinar on our website but then also this this Reverend today we’ll be on our website as Watson just a little word on that we’ve already had quite a few questions come up which I’ll be going through as as we move through the the webinar those answers those questions won’t be available until the new year I’m afraid obviously we’re winding down for the Christmas period or the holiday period i should say and it probably won’t be done before before the new year anyway without further ado let’s get started what I’m going to go through our today is a bit of an overview of the current technology is being used and anybody that’s all my previous presentation know a little bit about that are going to a little bit more detail today and really an insight of where traditional okay cameras have traditionally been used in ids and look to the future we’re probably gonna head I’ve we head to the area that I’m looking at in terms of this is what may happen I think we also need to identify how a sustainable system could be implemented within I TS and reason I say that is because they’re other changes to technology it must also happen in line with what we’re discussing here as a result I’ll go through the issues that camera technologies will face I look at the short term future and I is really short term we’re looking at probably 12 months or 24 months and probably less than that in reality out at this point and then we’ll go through the challenges again and the conclusion at the end of them click overview of what i TS means i TS is intelligent transportation solutions and i’ll put this up on every one of my slices to keep focused on this but that really is everything to do in every mode of transport so that’s traffic transit fairies airports autonomous vehicles mapping technologies or street mapping technologies very least and pretty much walking cycling in anything else you can pretty much think of it is really the quintessential product of how to get from A to B so moving forward I’m gonna have a look at the current technologies now and I’m going to go into this in a little bit of detail can I think it’s important to understand where they’re failing a way that perhaps not providing the level of detail we need from a mightier system point of view I’ve separated into general and specific and to be clear these are not ideas general I’m relating to those that can identify vehicles but not a specific vehicle and specific it is obviously opposite where they can identify specific vehicles and the first ones we’re going to go through other general and loops as we discussed the last webinar are probably the most prevalent well they are the most problem by a long long way the two examples you see in front of you have both signal at signalized intersections with loops as detectives and one of the questions we had at the last webinar was how many loops to the need to actually get can an inductive coil and the answer that is

actually two I did look into there and you can actually see the Year inductor coil on the right hand side as it would normally be be delivered a loser a great they can be anything which is vaguely euclid resolute shape so it can be circular square or tagging 11 triangular they can as long as it eventually some forms a loop it will work the next technology i want to discuss other magnetic perks and to be clear these are all images from the census website although again to be clear there are other magnetic parks on the marketplace as well since this property is probably the most prevalent of those um but essentially they are the same technology enough just a smaller package the advantage of the magnetic Kirk is that it can actually communicate by a wireless device are back to a back-end system up to a relay system which then goes back from that but essentially speaking they are the same well and they also suffer because of it for the same issues and the main new main issue is that they’re in a very hostile environment you’re actually digging a hole or channeled in a road you’re sucking out all the grip from that channel at that hole I mean you’re in building your device in there or your your cable in there and then you’re effectively putting some kind of sealant on top of that and of course the problem with that is if it’s anything above two inches that’s likely be ground off as you repay of your road so it’s it won’t you’ll take your we paid more you’re grinding machines will not differentiate behavior will be and the real tarmac the other one which is very currently used as radar radar you can see being used for anything from speed enforcement right hand picture to pure data collection the middle picture I’ve even seen them being used in parking management systems and I think we haven’t spoken about by on this particular presentation but one of the one of the advantages of a radar is that if a couple multiple lanes or even cover to both directions of a freeway simultaneously but it has to be mainly pretty high if it’s mounted lower you can see by the subtle graphic image on the left it is mounted lower any high side vehicle actually shadow or called shattering of any vehicles running decided you just won’t get a true reflection what’s happening on that rope system so oh we have a question sorry to see those questions coming please okay well this question as you know you’ve separated loops and magnetic perks but aren’t they essentially the same thing they are they are they’re very similar a nearly real differences that obviously digging a fairly small holding road to digging a big a fairly large channel one actually has a wireless device the other one has a roadside receiver but yeah they are essentially the same things so looking at the specific vehicle identification technologies the obvious one is and the first one I’m going to go through his bluetooth but it wasn’t the first to be developed Bluetooth is actually develop to test the data coming from GF BD our GPS floating vehicle data and it’s developed by the Maryland University for the i-95 coalition corridor arm and the idea behind it was anything with a Bluetooth device and at the bottom of it says Bluetooth signals come from cell phones PDA laptops gps car radios the fact the matter is it shows how older technology is because nobody used PDAs in law I’ve got to be honest I’ve never known of a glue to signal beam coming from a car radio but the fact of the matter is comes from a variety of different devices car itself as she has bluetooth now and as it goes past one receiver ill identify the time either go to the second which distance apart on this case in this graphic 22 miles you can identify time next one from the distance travel on the time you can identify to me it’s very very simple technology now the big issues with that are when you have a bus loop the kids going down we’ve got 50 kids in a bus or a 50 adults and applause for that matter all of which have one or two cell phones you get a choice a mismatch of what’s really happening if you have somebody walking beside the freeway or walking beside a frontage road close to the freeway let’s pick up their signal and again you have all these outliers which have to be removed at the same time so looking at the floating vehicle data now are basically the idea between floating the elevators when you have tracking devices on vehicles or when there are tracking device on vehicles what they effectively to do is every minute or every three minutes or however long that interval is it sends back a signal saying i am here by identifying where I where you are identifying the next where you are next

one you can effectively create a daisy chain of what I vehicles doing along a road networking second you can quickly plug it to a map and and as you see on this example when when the vehicles traveling quickly they’re quite follow little bit space quite 50 and when it’s driving slowly they get closer together and it’s relatively simple technology and it’s relatively effective in all fairness it’s just reasonably expensive and the next one is cellular floating vehicle data and what you can see here or the graphic is trying to show you are the example elements on here or effectively cell towers and a cell tower would Jim Reese Pam something like a five meters thousand yards and every time it goes from one cell tower you go from one cell tower to another cell tower you have a crossover point that crossover point identifies though okay this this cell phone is moving from here to here are the next once again I by actually pulling those all together you can identify the passage of the issue you have unfortunately is when you have a frontage road beside that and I’ve just used the graphic from the previous slide to demonstrate this but you can see that actually it goes through most of the exactly the same cell points as it as the other Road would and therefore you can’t really differentiate which road you’re on and so effectively what it’s doing is aggregating that data together and it’s not particular fish in that because of their two other examples i want to give in terms of its limitations when you have an urban environment city block make spam thousand meters as i said and therefore it could actually cover three or four or five rows back potentially which clearly doesn’t really give you the kind of information that you really want another example would be if you have a say a mountain pass it could actually meander through the cell cell the same cell areas multiple times and give you a false reading but to be clear all of these technologies are very effective they have limitations but there again to be blunt every current ITF sense that has a limitation some description or other the last one I want to hear before we actually start looking at the camera in specific and why the cameras different to to all these is the tolltag readers until tags up I use threat world map this one is showing from it’s actually from the e-zpass website it actually shows a great graphic of what happens transponders to fix the windscreen as it goes on dragon tree identifies the vehicle and then there’s a traffic monitoring camera above that just in case the vehicle fails to read transponder or the transponder kills reads vehicle when the point of that is you know whilst these are very effective they are generally only used on toll roads and as a result you really can’t use them anywhere else now there are places such a new york city as example who I have booked old tag readers up in various areas to try and get a a better indication what’s happening but that’s that’s unusual I’ll put it that way fashion here this question states now for floating vehicle data you haven’t mentioned mobile applications or crowdsourcing information do these not play a part yeah and that’s that’s a really good question actually and both of those do play a part certainly the likes and the likes of the larger organizations Google Amazon are collecting data through mobile applications and actually doing it very very well and most of the Google Maps you see will actually use that data to attempt to demonstrate what’s really happening on that road network the biggest issue have you can’t just buy that data and then use it you have to use the whole google map if you want to and that really is a limitation of what they’re providing now when we look talking about IITs we really want to be in control of our own destiny and therefore being controlled data we receive and be able to manipulate that data as we need to and that’s what you can’t do which is why that wasn’t included but the crowd source wants an interesting one and probably the most prevalent I’m most well-known crowd source application is ways that was bought by google I think it’s last year could have been this year though I can’t honestly remember but basically what it does is allows us set of users to identify what’s happening on the road network by pressing a button on their mobile phone and say okay Starion road here there’s a slow down here the congestion here as maximum here or whatever and by by pulling all that data together you can effectively start building up a fairly precise overview of what’s happening on the road network I can certainly see that crowd source technologies will play a really big part we move forward oh very good question give those questions come in please so

looking at the traditional IITs camera applications you know what I’ve tried to do here map out the processes as we move forward from you know where we started to where we’re going to I think the first i TS applications are mainly around the enforcement and they were around speed enforcement read ly enforcement and as the packages became smaller we started to see those murder those appearing in police cars to look for certain vehicles primarily author look for vehicles of interest should we say and that’s where we really started once he got a point where that was working working reasonably well we then went to the revenue collection element and the top picture of here you can really see was the traditional toll booths where you go in you drive up you pay your money you move on and am PR applications and camera applications were particularly used to just identify any vehicles that fail to stop and pay and there are relatively slow moving vehicles are in a controlled environment it wasn’t particularly hard having said that that was probably at that time a major capabilities of that camera as processing fees speeds increased ma’am and as a mpr software applications improved very able to actually put those and open road tolling environments and that’s the second picture here which basically shows a tolling environment where you don’t have to stop on this particular one you do have to slow down I think the average speeds are between 40 and 60 miles an hour but you slow down it takes you trim it takes your your your electronic wallet takes a deduction from the electronic wallet and you proceed as if there was nothing in your way and again that’s all governed by translate all tag readers and then camera applications to back those up in the event of a failure to read the bottom one which is probably the most exciting is really the hotline kind of applications that max towle environments are now starting to be delivered and this one in the bottom here’s a few part VI 95 around Washington Dulles area and basically you can see that what they effectively trying to do is some hot lanes is charged you for the distance you travel the time of day you travel and potentially even the congestion is on that piece of vote at any one time so as an example you could actually increase the price based on how much conditioners there to dissuade people from using if it’s ready happy flow capacities and I think that’s something you’re going to see a lot more of as we move forward the next one is really infrastructure management and we clear infrastructure management and revenue collection system pretty much came in in parallel to each other the first ones are tunneling with the second timing system the second one is a bridge environment of third one signalized intersections and each of those uses cameras to search a huge effect now the first one you’re effectively intelligent environments you’re effectively using a four-speed you using it to identify over-height vehicles and you’re actually using it also one of the major elements of camera technologies also to identify hotspots on vehicles and that’s really a result of some of the issues that occurred in Switzerland with quite a few people unfortunately losing their lives because we’re firing the tunnel and likewise and the Channel Tunnel also have a fire so all vehicles are now being monitored before they enter the title and any hot spots they can actually pull that vehicle off and just check that it’s okay or not signalized intersections of bottom are used cameras used extensively now to I should identify the turning movements of vehicles as well as the loops themselves you can use both the next area is congestion management or I’m going to call a congestion mitigation because I think this is really where ites starts to really play a really big part the top picture is actually something you see quite prevalent in in Britain there and that’s really our speed over distance cameras so you’ve set up cameras to identify not only spot speeds but also speed over particular distance so there may be another one of these gantries a mile down the road and another a mile on another a mile and what it does is keeps people honest one of a better way of phrasing it effectively friends people from going going through the slowly and speeding up and going through the next one slowly yeah you know if over the course of the distance you’re actually exceeded the speed limit you will get fined now it’s not about finding though and I want to be clear about that it is about managing the speed of vehicles and Fleur vehicles on the road so the bottom picture is actually a variable speed control also in Britain and basically what it shows is that you’ve got gantry

it’s identified that the average leave the speed you should be going it’s 40 I don’t know in a bit France and I were discussing this earlier and we most cheated and we wait you know you tend to go through these at 40 and then speed up to 60 if you can and then go here and then go through the next one and 40 and the idea of the top one is to read the bottom one from from happening so I can really see a real need for variable speed controls and speed over distance happening in harmony with each other I think that will happen a lot I already know it’s happening and it will happen in a big way as we move forward mental picture i think is also really quite interesting there as well it’s actually shows a lane control system and the idea behind it is there in the morning you had get a flow of vehicles in one direction in DVF logo pickles in the other direction and actually you have quite a little availability in the bet in the wrong direction the idea is to start using those lanes effectively to move vehicles in your direction it’s really as simple as their next one is safety management I think this is really where itís is going to have searched show of some real improvements in what’s really happening our road networks the first one is one of a better way of phrasing debris and road now normally debris in road would relate to a tire a dead animal a fridge is falling off the back of a truck a box not a mountain obviously the mountain is a big debris in road element but it actually amounts the same thing the fact of the matter is it doesn’t matter what it is if you have a lane obstruction you can have cameras with automatic identify what they are on what not what the obstruction is but there is an obstruction flag it to an operator and when the only operator will actually then start putting mitigation plans in place in this case that actually closed the road the second one is obviously over high vehicles and it’s staggering how many over hide vehicles hit bridges and overpasses every year and it still hits them but the fact of the matter is it’s a problem this problem that can be fixed pretty easily through camera technology and just needs to happen and it will happen as you move forward and I was quite quite lucky to have worked on one system to actually look at debris in road and I think 160 old cameras room invented over several miles stretch just identify what was really happening on that magic road network the last one is actually equally as important and probably more important as you move forward is automatic Matic instant detection and the idea behind that is if you have a body of cameras they’ll be able to identify when slowdowns occur and even when an instance actually occurred and the same camera that’s used for debris in road will be used for instant section I mean it’s pretty straightforward stuff and then we look at the future the future systems we have drone technology I think may bear bar and a semi or you’ll be use the cameras but and and I can certainly see the drone technology will be used for IT s applications fraud the second one is street mapping and street views are the third one’s the autonomous vehicles and none of these are little one exception but the other two are not like you have a short term but I’m pretty sure they will happen Oh question here now why haven’t you included applications such as congestion charging freight overcharging or way in motion again thank you very much the questions and the reason I didn’t include congestion charging is because it’s really quite similar to tolling environments they really are they are talking environments what a better way of phrasing it certainly the london congestion charging system is is a tolling system between the hours of thinking 77 but i could be wrong about that now likewise the singapore is pretty much the same stuff comes a bit different exactly takes more the model of the hot on the hotline charging so you can be charged by the time of day a different charge i think you can should even be charged to stuck on based on the vehicle classification as well but again I could be wrong about that so that’s why I haven’t included those trainees are charging again is a tolling system just identifying the vehicle type as opposed to identify the specific vehicle again those are being trialed around the world at the moment and suddenly it will be technology use the same essentially over how vehicle detection it was like no way motion sick wave motion unless the other one and again that’s the reason that wasn’t included because while cameras play a part is really a situation that way emotion requires scales as a primary data source and then cameras as a secondary and that’s why that wasn’t included but they’re all very very good points and they cameras play upon each

and every one of those so the quick look at the future of cameras and potentially a impure applications certainly the speed occupancy volume vehicle classification can can be done through a camera so can wrong way running into every one Road and a whole host of level applications as well and the reason has changed this on the beginning to say it wasn’t just about am PR is because I’ve actually in researching this a bit more I’ve actually come across to potential come more to companies who because of a NPR issues in some geography so actually gone away from Maine Pyaar and actually identifying specific vehicles using camera technologies without identifying the number plate and one of them is doing it by using hash codes instead and converts the number plate 220 128-bit encryption and delivers you a string which is huge but can actually go identified but not identify the specific vehicle it’s quite clever and the second one will actually identified vehicle type and elements of that vehicle to identify the vehicle specifically and it’s really quite interesting and it’s a different approach but actually one which I think will prevent some of the privacy type questions that have been written I have been being have been being raised I’m not sure that so you look about anyway forgive me it’s been a long day some of the new systems are is I really want to hit the the tolling environment for first of all I believe there’s a opportunity here to actually change tolling environments and actually have transponder less or non transponder tolling environments and actually when I first put an idea together for this I was I was told by one organization that I was mad and then shortly after their thereafter and I think we’ve been in 24 hours thereafter actually found an organization already doing this on a big scale I’m actually covering an entire country but the idea behind it is every every trans every tolling that not every bit a lot of toning systems have different transponder requirements of chips transponder networks so I think there’s 15 different tolling environments in North America when I went to Southeast Asia they were actually a lot more than that in a very much more pressing a compressed area and the problem of that is you end up having to have if you wanted to have a trucking company with traveled all across North America it need 15 different transponders on there and that just isn’t efficient it’s not isn’t you know and each of those hatch others own electronic wallet and darla but it’s just it’s just not not not nice when you consider that one of the environments have been investigating actually has a has a ninety nine point two percent read rate of all number plates over a multi-year period include across all weather conditions including rain snow for hail etc that is actually equally as good if not better than its transponder read so it can be done and I certainly see that Ashley as we move forward it probably will be done some of the other areas are obviously security at the bottom right hand corner you can see what we call in North America and Amber Alert and this is a child abduction or child gone missing you also have silver alerts when an old person is gone they’re going missing or on a wall and the idea is that using cameras with a NPR or with identification properties you can identify where the vehicle is an effective track that vehicle to point where it can be it can be stopped all or at least monitored but some of the other ones the safety issues the top you know the other two images here at the bottom left one is what I’m really going to talk about but what you see here is a freeway environment from a dash cam and you can see that what’s actually happening here is a vehicle struggling along a freeway in the wrong direction with the kind of technology we’re talking about here and with someone automation we will be talking about what could happen here is all the way down this freeway you can actually have until that be able to stop you can have the dot matrix signs telling vehicles to pull off again and get out of the way and then we could come to the small operations and this is a typical picture of traffic management center basically you have a not rated money manning 12 or anything up to six screens of scene and in front of them or somewhere in that traffic management center you have a video wall of however many images you can display the point is that in reality that operation doesn’t really look up at well parade is really very busy on undoing whatever they need to do in front of them and you know even if they do look up a fact the matter is they’re seeing perhaps 16 different images they may have 300 different different cameras out on the on the network and they can’t possibly mon amour so the idea behind this is to have

some operator flagging some automated analysis and from that be able to actually identify what’s going on to the operator as they need it you have a question um now could you please describe a little bit more about operator flagging yeah sure yeah I should have been going to a little bit more detail I’m so thankful for reminding me now the idea is that if if you do some pre-processing on the data getting from any sense of whether it’s a camera or anything else that can automatically flag to the captivity operator an issue which is occurring so for instance wrong way running you could have a red a red screen pop up identifying that there is a problem a particular Road what that problem is i will just say a little bit more of us okay about the automation as well because the idea behind it is not only will you flag to the operator but your sister will be intelligent enough to be able to bring up the right images at the time and even potentially even bring up the decision support system I don’t find what they what the courses of action should potentially be some of those limitations of the current systems there are you know a lot of these advanced traffic management systems the 80 ms systems are fairly proprietary and they’re not used to having this collection of data coming at them and they used to collecting data in the traditional ways which doesn’t necessarily have the quality or quantity of data you’d otherwise see from what we’re proposing here as I said there is limited in challenges to fight the fact that IDs down from intelligent transportation solutions there is limited intelligence on there and then come and some of that could be through the inability to trust the data they’re gonna get the inability to trust decision decision support systems but I have to say that is changing with the introduction of integrated Court of management you see a lot more intelligence being being injected into I TS and that’s really good to see because what that will do you know will be baby steps but it will eventually get there and then as we look forward to that once you have that you can start to date in mind you can start to throw up some management telematics but it has to be said that some of these issues are actually preventing us from managing environment as we need to okay actually we have a question on this slide here could you please describe which mean by management telematics oh yes actually progression have used that word in all fairness i’m really talking about dashboards the idea behind this is to actually provide a level of the our level of intelligence and glance so throw a dashboard you can potentially identify watch what’s going on in the network but it’s really one screen giving an overview a quick overview which event reveal the answer she wanted to that’s what I was thinking come on guess so thank you for answering that question arrogant the second question that the received here isn’t what do you mean by time stop data analysis you know surely everyone is monitoring monitoring in real time but how does this differ yeah that’s that’s a good question I perhaps I should set a little bit more about that I probably skipped all together so forgive me back in the late 2000s I was responsible for looking at real time other time at that time we were purely historic and there was a huge move to actually start looking at at real-time data and being able to get systems to accept real-time data the real-time data is effectively historic there is latency involve all the time you get it it’s always little bit old babe many of these seconds but it’s the lot but the idea behind time stop is you collect that data you continuously store that data and you continuing continually reflect that data against the other date you’ve already got so for instance if you’re looking at shall we say the congestion build up in the morning and the morning rush hour on a particular stretch of road you may start looking at it as say 6am r 6 05 16 6 15 and it could be in 15-minute increments or could even be in for the second increment or less latch onto to the idea is you actually build up this profile and then from historic the real time you can actually start to identify what the predictions going to be and that’s really what I think so in order to get there how can you actually build this sustainable system you really need to move forward on this now we really need a sensor to able to identify every passing vehicle at least majority of passing vehicles because by doing that we’ll get to this microscopic model we discuss the last webinar but the idea behind it is by having this microscopic model we can actually identify the beginning points and the end points of

every of every vehicle or most vehicles on the road now we don’t need every vehicle but we do need a majority and once we do that we’ll collect data from morals need to create data from more locations to get there that will give us an understanding what has happened doric what is happening the real time and what will happen predicted by using this and as I said before by by using this in that in a profile curve if you like to identify how it’s actually changing how that event is changing once we get to that point we’ll only be able to analyze and to better manage that data and if we get there and I think we will I really you know I think we have to with the congestion issues what it currently facing I think yeah we’ll get from up this passive passive monitoring state to a real active management but I want to be clear it’s all about the data and more data we have the more the more quality of data we have and the bigger the more we understand that data by I don’t answer identifying the cause and effect on the better we’ll be able to really take this forward so some of the major issues issues facing camera technology there’s obviously privacy and let’s talk a little bit about privacy because this is a this is a really big hot topic you know as an example Germany doesn’t allow any NPR application because of privacy laws in Germany that’s a it they do have speed cameras using ampl and in fact I actually applied to German government to I hope to get a test case set up so that we could test anpr applications as a research project nothing more than research project where the data would be destroyed at the end of it after much tuna throwing it became apparent that actually the German law wasn’t prohibitive it wasn’t defined and because it wasn’t a find a reluctant to say yes but you know here which matches the same thing but for the same token you’ve got other countries such as Singapore I believe I’m like saying this but has has identified that dash cams are must be used in vehicles it’s no longer an option you’ve got places like Spain have just allowed it to be used you’ve got poland i think they they’ve also passed legislation to I don’t think it’s not to have it but it’s certainly recommended to have them and then you have this kind of situation where you’ve got some countries prohibiting it some countries saying you actually have to have it but let’s look at this logically just for a second anybody with a mobile phone is being tracked okay there are more mobile phones in this world may our cars significantly more you know as far as I know there’s not any any 13 rolled out there driving cars uh-huh but I don’t know a 13 year old it doesn’t have a phone the fact that matter is you know if you have a phone you’re being tracked if you’re going down two miles of freeway and you pass one camera it’s a surprise frankly if you go down to two miles of freeway with a mobile phone you’re being tracked through at least three cells you know so this privacy issue has to be put into perspective you know yes there is an issue there but yes these managing but it shouldn’t be the end be all and end all of ideas can be computed communication networks are also very important as we get higher resolutions faster frame raids you know a better quality of cameras in all fairness the bandwidth requirements for cameras is going to go up so therefore there has to be some kind of mitigation strategy to to bring that band to a level which is acceptable again so that’s going to be one of the areas we have to face camera management as it comes with more cameras in the world we’re going to have a situation where you can’t possibly monitor 600,000 cameras you know and there has to be some automatic processing arm not only undertaken but then relied upon by the operators to actually flag up instance one of the things I worked on years ago was identifying which cameras were unavailable not in use failed need to require maintenance we did that just by looking for static on those cameras as an example I can be done very easily through software obviously the cost of NPR software significantly reduce any applications out there at the moment you know I’ve been quoted as much as two and a half thousand from license but that will come down I’m bummed now there’s quite a lot of competition now and that’s going to come tantrum a salir in the next few years and of course we have the two new technological applications as new technology comes to place comes in you know that’s going to have a significant impact this we as you move forward as well so actually circle that you’re in the question did pop up

for the last one and it’s really not clear what you mean by new technological applications please could you provide your thoughts suddenly come Francis would like to sail again ok I got it I will go through what this means but I’ll go through in the next slide I think it becomes more apparent as we move forward on here a peek into what my my perception of the future is going to be in is my perception you know a camera standard i TS camera will require a lighting array will require obviously the camera itself but would require some kind of processing capability on board software onto a processing board what I’m thinking about for that is really things like the speed the opportunity volume revealed classification runway running debris on road they could all be done at the front end and these are all areas where you don’t specifically need area because the API is simply too big for matching up the camera in most you know in free flow of applications of them you’re going to have to have a communication their works on there as well and the reason I say that is because as we move forward if we can actually do some of the proceeds on camera it means we don’t to send back every image we only have to send back the data we need and that’s very important and that will lash bring back bandwidth down significantly now if we do that welcome effectively have is the iphone of canberra’s although short of the smartphone of cameras let’s let’s let’s keep off the year when the branding here so forgive me for that russian have said that but the smartphone of cameras i’m basically the idea behind the smartphone is you have all these applications and you run the ones you want to run when you need to run them and the same will be for my vision was the same um just a brief question actually popped up um do you need an IR lighting array if you have adequate high dynamic range rage yes good question on the jury still on this my reputation is I think you do be there is like and say if you have a high enough high dynamic range the fact imagine you probably don’t need I think I would air inside a caution and put it in any way I have it and rely upon it and if you rely upon it leave the problem you’ve got high dynamic ranges are it’s generally the better sensors that have the high dynamic range and that increases the cost which is probably not a good thing priety of applications anyway so it with me I keep the high dynamic range within a sensible set of central enviro central sector now I move my hand around and massively but it’s not really helping the webinar have it in a sensible area have a relatively low price sensor put in a lighting array and at that point you can guarantee to hear everything the problem with a lighting array by the problem hi Dermot range though that matter is that like nighttime conditions obviously the lighting array will only be so far the similar high dynamic ranges but again if we are sequencing that will also help some of that as well very good question and please keep those questions coming so what does this mean for camera applications and I obviously we need help increase resolutions increase frame rates reduce bandwidth and we’ll do that as a sibling actually do some of the pre-processing at the front end the buffering and sequencing and buffering but by that what I mean is when there isn’t the bandwidth available the idea is to buffer the data and send that data when there is bandwidth available and sequencing is effectively exactly what I HDR does if you have three shadow HDR what it does affect it takes three frames and then use the best one always use suggestive sequencing is that actually it will either also there are high risk control and also the white balance or a lot you know the frame speed just to try and get the best possible image so to make sure that all data is captured as close to a hundred send as possible and then the HDR wdl to answer the question as we came up before and is a CNN almost every condition and to be clear here the current camera technology can see about ten times better than human eye and as such they can seem rain fog hail snow lot better than we care and that’s been proven and as a second there is one application that I investigated she’s using cameras with back-end npl are unable and over the three-year period I say we’ve been able to glean 99.2 percent of all reads so that’s pretty

that’s pretty good I think we’ll go with that one multi-use application and it gives us the ability to collect all data men they’re there for that microscopic model we’re talking about which i think is absolutely essential to move on there as I said next element and it gives us the opportunity opportunity again to do the triggering the automation and thereafter the prediction I think we have a question quick question here could you please define what you mean by operating triggering yeah I think we hit this a little bit before on the on the slide with the traffic management center of the idea behind that is probably should use the same word as they use their flagging by triggering flagging effectively the same you know the idea is you have some automation that automatically brings up screams the operator saying okay we’ve got an issue here a potential issue here you need to look into this and as we move forward as we go down there this world rotten powerful not so well trodden path at the moment you’ll then get the automated decision support system saying okay this is the issue and this is the action we recommend you take civil issues with this approach some leaves already gone through i’m not going to go through the law again but the decision support systems are going to be critical and some of those you can already see started to make an impact on here with the integrated court of management type systems which rely on decision support systems scenario development and event triggering really to actually assist the operator to manage the quality and quantity of data they’re getting will certainly have to have changes to the ATM s systems to accommodate the data and that could be made available from this technology and frankly from any other new technologies are gonna going to candlelight you know at this moment i’m lisa can’t accept predictive data they don’t accept real-time data now so we’ve gone from only accepting historic to only accepting real-time and i would really got to start looking at how we accept with addictive data as well because of the where we you know crystal will have a better understanding what’s really happening a little on our network of roads we’re in a situation where the camera locations at the countless location of cameras we currently have may not be right but they are effectively there to do is identify congestion hot spots or accident hotspots and what we really need to do is identify the build-up where it starts from when after those camera locations may be beneficial that they may have have to be other ones which actually bring that together and one of the last things we have to learn to trust the day we get from this one of the I’m got two exams I’m going to concentrate on one when computers first meet you know came to light and was first used in anger one of the first things are useful was to identify how to predict the result of an election based on exit poll information I wanted what it did at first was identify a landslide victory to Canada a or b I can’t remember which one a bit of such a landslide that he wouldn’t believe the data is wrong you know and because they would never got aired only to find out actually when when the founding had finished the the system was actually uncannily accurate and we have to actually start if we go down this path we have to start to trust that data and the operators are in tribal management centers have to trusted later as well obviously privacy were already addressed but the last one here is change management we have to get past this whole privacy perception you have to get past their idea that I TS is about revenue collection and finding people who are driving too fast or whatever it has to go from enforcement to management that’s really important and we have to go from enforcement to safety and I think that’s also equally as important no this is more about managing our networks rather than finding people because they’re probably too fast we manage our networks efficiently and effectively those people will actually automatically be slowed down anyway and I think it’s really important to actually look at this holistically as opposed to how we have been doing up to now so to answer the you know to answer the old important question will cameras become a standard ikea sensor i think i think it could do I think it should do I don’t think there’s anything out there at the moment which will actually give us level or quality of data that we’re recovering looking at I think it’s absolutely imperative to start getting that data so we can really start to manage that network ID to manage that that time network will it require back in system changes without doubt now we will not all be done in a day no it will be done in one time no it will take months and potentially even years to get there but I passionately believe that we will have

cameras being used as data sensors on the road in a very short term future and I’m talking probably anything from trees six months I think we’ll actually start seeing some real differences here if we do it will truly have go from active management factor for passive monitoring to active management and as you if we get there then you’ll start seeing some real improvements in integrated management systems and that will then breed to evolve too smart transportation small city in active traffic management so in a nutshell I think it really will happen and I think it really needs to happen and for that reason alone to get well that’s the end of my slide so if there any other questions I’ll take those now so we do have one that popped up are there are existing standards within I TS /a and PR for cameras software networks and are they mature or maturing well that’s that’s a really good question i’m not sure i have the answer may have to come back with some research on this I’ll be honest standards in i ts are pretty limited there are a couple of standards which such as the tmd that the transport management data dictionary and the NTC IP neither which apply to a NPR or not apply fully anyway at this moment time I don’t know of any standards which apply specifically to a NPR and in all fairness I think it’s evolving so rapidly I don’t believe it standards would apply brake well to NPR applications having said that what am PR applications give you is essentially a number plate that’s all so providing you can identify the vehicle number plate accurately oh and it gives you a number plate and it gives you a confidence factor generally our sir Balin if the confidence factor is too low you effectively ignore another plane taker I take a picture and actually have it verified manually but the fact the matter is you know as I said there are other there are other applications coming to market now which are identifying a hash code with 128-bit encryption there’s also other ones identifying the vehicle through particular marks on the vehicle etc so I don’t believe there are really standards at the moment will it help I think at the moment probably wouldn’t I think at the moment probably limit some of the technology technological innovation that’s actually happening out there so it probably wouldn’t be the first place I’d look at for Standardization unless we really look to the Future Sight try to standardize what the future would look like I think at that point we could I you’d see a huge influx of new players does answer the question okay any anything else yep that doesn’t got confirmation good yeah so kind of going back to the sex questions University traffic management systems and in regards to the change do you think that they will change to accommodate the new day this new data source and if so why I think in all fairness they’re not going to have a choice some of those changes already be made for to accommodate integrated corridor management and there’s at least two organizations I know of which are actually developing new systems to accommodate their and accommodate the decision support the automation and the event triggering that we’re talking about so I think anybody it doesn’t or any organization that doesn’t move forward on these kind of new innovations will actually be left behind and actually I also think that with these new innovation you’re going to get other companies who haven’t been in this field developing system which are far superior to what’s currently out there now one of the problems we’ve got with the systems that we currently have is they are pretty proprietary they’re pretty old a lot of them and they’ve effectively been tailored to meet the requirements own reports of time and as a result of that perhaps their back-end data elements and databases on as organized as they need to be with within the big data concepts account you are persisting so frankly i think yes they’re going to have to I also think whilst they won’t it won’t happen overnight I think you’ll start seeing changes those systems happening pretty quickly Hey thank you and we do have another question here no you mentioned in regards to the different the privacy issues in you know different regions kind of acquiring or having different

rules obviously it looks obvious that they will require different approach is any idea of how they can go about accomplishing this yeah I think I think he gets as hard as it sounds and yeah there will be different approaches and different regions there but really are those different coaches in different regions anyway so for instance the Middle East requires different technology to talk to other areas as well Germany escreveu needs identified requires different technology and in fact one of the technologies I discussed was developed specifically to accommodate Germany but that said all that provides back to you is effectively an encrypted license plate which isn’t very different from a non-encrypted license plate you know from a from a systems point of view as opposed to the plane letters themselves so yeah we’re not accommodate will it be able to accommodate the chair variants the variations yeah I think they will I don’t think that’s as big as we think it is yeah the little bit need to be changes there so for instance but there again any system which accommodates the license plate at the moment has to accommodate all the different license plates of world anyway so no so there has to be the ability to actually do that anywhere in the first place anything else Francis I think that’s it right now just strike waiting to see if there’s any more questions that have been how we doing for time at the moment but a little four minutes under an hour after your perfect so give me we give a quick minute to see if there’s any more questions well most we’re doing that their system if you okay wish everybody a happy holiday if those questions do pop up in the next four minutes then we’ll alarm slows if they don’t then please feel free to drop me at myself or sponsor an email or give us a call that matter I will happily answer any questions you may have and other that anything else Francis looks like it’s quiet right now ok well I just want to thank everybody for attending and happy holidays thank you all a happy holidays to everyone