Intelligent Transportation Systems

Did you know that cars pollute the most while sitting idle at intersections waiting for the light to change?



Intelligent Transportation Systems (ITS) refers to all of the efforts made to the transportation infrastructure. This includes systems that monitor traffic to control the street signals, internal and car-to-car communications, car navigation systems, collision avoidance, crash detection, electronic speed limit signs, speed and red light cameras and other innovative systems to ensure safe driving and keep pollution to a minimum.



Traffic congestion and the rise of new and better technology started the push for real-time control and more efficient traffic solutions.



Traffic control cameras were designed and built to eliminate the much more costly and unreliable induction loops. Induction loops are installed into the road itself and they detect the vehicle’s magnetic field as the vehicle passes over the loop. These systems are quite costly to install since they either have to be put in before asphalt is poured for a street or cut into existing asphalt. These systems are also vulnerable to extreme temperatures – both hot and cold – which can make them fail. Failure means the lights will not change when a vehicle pulls up to it.

Have you ever pulled up to a red light at two in the morning and no matter how long you sit there the light just will not change? That’s a loop failing to sense your car.

In order to overcome these types of problems, video cameras were created with specialized housings, lenses and software to measure traffic flow, automatic incident detection, license plate recognition, and other traffic related issues.

The video systems are totally non-intrusive as they do not require installing any equipment inside the roadbed; instead the cameras are generally mounted at the top of light-poles with the cables being run through existing paths in those poles.

Video from the camera is fed into processors that analyze certain characteristics of the video. They can be set up to detect lane-by-lane vehicle speeds, vehicle counts, lane occupancy, stopped vehicles, vehicles facing the wrong direction and so on. A single video detection processor can detect up to eight simultaneous feeds.



For over 20 years WTI has designed and manufactured innovative ITS systems – from the camera systems to wireless communication devices. For more information on our complete line of solutions check out our web site at www.gotowti.com.

~The WTI Team



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WTI (Wireless Technology, Inc.)

Video Surveillance Products Dedicated to the Broadcast, Global Security and Transportation Markets!

www.gotowti.com ● www.wirelesstech.com

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Check out WTI’s new state-of-the-art SMT PCB assembly machine!

Understanding and successfully addressing each of our customer’s needs is the overriding mission that drives WTI (Wireless Technology, Inc.) and the business relationships we have with our customers. We realize that each customer has unique needs, however after 25 years of serving our customers we find there are three “interwoven-threads” that our customers have come to rely on from WTI. They are: Product Performance, Product Quality, and Cost of Ownership. Keeping all of these “interwoven-threads” equally strong requires constant customer feedback, vigilance in Research and Development, investing in manufacturing technology and of course the all important cost of ownership.

In this vein, WTI is very proud to announce that we have chosen the Juki Corporation and their high-speed SMT placement equipment to replace and upgrade our current SMT line. This allows WTI to meet its need for a wide variety of in-house manufacturing applications with the highest performance possible. The new Juki KE-2080 is a high-speed, high-accuracy component centering SMT machine that uses unique laser technology and extremely powerful vision processing to ensure correct and exact placement every time!

~Dan Fancher, President/C.E.O.

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WTI (Wireless Technology, Inc.)

Video Surveillance Products Dedicated to the Broadcast, Global Security and Transportation Markets!

www.gotowti.com ● www.wirelesstech.com

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Far, Far Away…

One of the most frequently asked questions that we receive about our products is “How far can the camera see?” The answer to this question is not the same for every application, so the correct answer depends on who is asking the question.

In a highway traffic application, for example, the customer might want to know how far down the freeway the camera can look and display several lanes of traffic across the video image. In another type of vehicle tracking application, the customer might want to know at what distance the camera is able to resolve license plate numbers.

Let’s consider the highway traffic application first. The Interstate Highway System uses a standard lane width of 12 feet, so we will base our viewing distances on this figure. If we know what the horizontal field of view of the camera is at its maximum zoom setting, we can easily calculate at what distance the video image will show 1, 2, 3 or 4 lanes of traffic to the traffic engineer at the operations center. Here is a table showing the maximum viewing distances for cameras with several different zoom factors and horizontal field of view values:

Normally, a traffic engineer would be interested in the inbound traffic in the morning and the outbound traffic at night, so on an 8 lane major thoroughfare, we would use a 4 lane width for calculating the camera viewing distance. We can see from this table that if a traffic engineer was asking “How far can this camera see?”, the answer would probably be about 0.3 Miles for the camera with the x35 zoom capability. With this information, the engineer would be able to determine how far apart the cameras could be placed alongside the highway in order to have adequate coverage for good viewing quality. If these were pan, tilt and zoom cameras capable of looking in either direction down the highway, the cameras could be placed 0.6 miles apart.

Another vehicle related application that depends on knowing how far the camera can see is license plate recognition. Determining the maximum distance at which a license plate can be read is a little more complicated than the straight-forward calculation used in the previous highway application, though. The maximum usable distance in this application will depend on whether the intent is for an operator to be able to read the license plate or if the license plate is going to be read by an automated Optical Character Recognition (OCR), computer based system.

OCR license plate readers are highly sophisticated machine vision systems that usually use special cameras with built in high powered infrared LED strobe lights to enable optimum viewing in all lighting conditions. They also are typically used in situations where the vehicle position and orientation is carefully controlled, like a community guard gate or a toll booth lane. These types of systems usually are specified to operate at distances of about 10 feet to 40 feet.

In the case of conventional color cameras being viewed by an operator during daylight conditions, though (say on a street or highway), we can make some assumptions and come up with a ballpark figure as a guide for how close a vehicle must be for an operator to read the license plate. This might be a situation where a guard is monitoring an entire parking lot with a pan, tilt and zoom camera, and wants to zoom in on the vehicle entering the gate occasionally, and write down the license plate number. In the JPEG image below, which has a 512 x 384 pixel resolution, the vehicle fills up the middle third of the video image, and the license plate number is discernable under these relatively optimal lighting conditions. A resolution of 500 lines of resolution would be about the upper limit under ideal installation conditions for a high quality CCD camera.

The license plate actually encompasses about 81 x 43 pixels in this image. The image below shows the license plate section blown up in size to show the actual resolution of the license plate portion of the image.

As you can see, the license plate number, even at a resolution of only 45 x 23 pixels or so is still just barely discernable by a human operator under good lighting conditions (if you squint a bit). This would probably be the minimum resolution that would work. If we calculate the maximum vehicle distance using the same cameras as before and using the size of the license plate as a guide we get approximately the same results that we did for the one lane calculations.

Naturally this application depends on a lot of variables, like the lighting conditions, the quality and distance of the video cabling, the cleanliness of the license plate, the operator skill and other factors. These numbers are only a very rough guideline. Your results may vary.

So, when considering different applications, the answer to the question “How far can the camera see?” is, “it depends”.

~Dale Roche, Director of Engineering

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WTI (Wireless Technology, Inc.)

Video Surveillance Products Dedicated to the Broadcast, Global Security and Transportation Markets!

www.gotowti.com ● www.wirelesstech.com

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