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4 Stand-out Features of the AI Fleet Camera Solution

Positioning Universal’s new AI Fleet Camera Solution boasts many features that deeply enhance fleet management capabilities. We have seen through previous posts many of the different ways that the AI Fleet Camera Solution is advantageous. For example, our article on the dual camera illustrated how important dash cameras can be for fleets from both a safety and cost standpoint. But even in explaining topics such as edge vs cloud computing, we could identify key traits that make this solution stand out.


In this post, we are going to further examine 4 features that make the AI Camera Solution stand out. These include:

  1. Resolution/Object pickup

  2. Two-Part Solution

  3. Gateway coupling

  4. Critical Event monitoring

Resolution


If you have scrolled through our website, or seen some of our LinkedIn posts, you have seen some of the amazing footage that the AI Camera captures. The resolution of the camera is top-tier and allows fleet managers to have a clear picture as to what happened. But on top of that, the actual object pickup of the camera makes this solution so great. Using AI technologies, the camera can identify many different types of objects while on the road. That ranges from the necessary ones—stop signs, traffic lights, and adjacent cars—but also goes even further than that and picks up many more objects. On the highway, it captures and identifies all surrounding cars with upmost accuracy, and in residential roads it picks up objects of all different shapes and sizes. Below shows the wide range and accuracy of objects picked up. By being able to locate and identify all these different objects, fleet managers can be certain that nothing will be missed, and critical events can be accurately triggered.




Two-Part Solution

A unique aspect to the AI Fleet Camera Solution is that it comes as a two-part solution. That is, the camera is one part, and the GPS tracker gateway (FT7500) is the other. In other solutions, the gateway and camera are contained in one piece of hardware, but there are a few advantages to having this two-piece design. First, the actual footprint of the solution becomes less bulky as both parts can now be smaller and separated from each other. This offers more windshield visibility—as the gateway is placed in a more discrete location like under the driver’s seat—and is overall less of a driving distraction.


But the biggest advantage to doing this is to prevent overheating. Technology by itself gets hot. Cars in the hot sun? Very hot. So, putting the two together shapes up to be an overheating disaster. The ways to reduce this is by minimizing the work that the device needs to do. So, by separating the AI Camera from the gateway, most of the computing and video processing can be done away from the hot windshield. This keeps the devices reliable in hotter temperatures and gives them more capacity to accommodate more features.


Also, what if your fleet is not ready for cameras or does not need them? What makes the two-device design so great is that the FT7500 can be installed before and independent of the AI Camera. So, if fleets are not ready for cameras, they can still unlock the library of capabilities that the FT7500 provides. Then, when ready, installation of the cameras are very easy since they just plug in to the gateway. No device replacement is necessary. This allows fleets to progress at their own pace and not face pressure of going “all in” on both a tracker gateway and the camera. Likewise, they do not have to worry about any installation nightmares when they are ready to move forward.


Gateway Coupling


But why does the AI Fleet Camera Solution need the gateway/tracker to connect to it in the first place? What benefit does that bring? Well, by having the AI Fleet Camera Solution couple with the FT7500 gateway, it creates a full device ecosystem that unlocks so many more invaluable capabilities. By having this coupled solution, the devices can communicate with one another and to provide analysis that each device alone cannot. Let us take harsh braking as an example. With the FT7500, the device will utilize its MEMS accelerometer to trigger the event of harsh braking. If the FT7500 is the only device in the fleet vehicle, then at that point the event would be logged, and the fleet manager would be notified of a harsh brake and receive the GPS location and time. That is very useful, but a harsh brake can mean anything. The driver could have not been paying attention, and broke to prevent a collision or not run a light. Or the driver could have broke harshly as an animal sprinted across the road out of nowhere. The driver could have even broken harshly because an accident ahead occurred, and it was the best way to avoid further collisions. With the AI Fleet Camera Solution, though, fleet managers can see exactly why the harsh brake occurred and also see what the driver was doing during the event. This ability to supply context to many of the events that the FT7500 can identify immensely helps fleet managers figure out what events are real issues and what are not.

Moving beyond context, with the AI Camera, the two devices can work together to monitor events such as collision risks and traffic violations. The AI Camera can communicate with the FT7500 that the vehicle is at a stop sign or red light, and the gateway can ensure that the vehicle comes to a full stop. These issues are very important to pick up as traffic violations can add up and even domino into higher insurance rates. Even more, having the ability to see when drivers are at risk of collision can help fleet managers take proactive steps to ensuring drivers stay safe while on the road.


Critical Event Monitoring


The camera solution identifies, triggers, and uploads video using a “critical event” criterion. This is one of the camera’s best advantages. We have all seen the comedy scenes when they replay hours upon hours of security footage and find all sorts of wacky behavior before finally finding what they were looking for. With the capability of recognizing “critical events” on the road, the AI camera streamlines video footage to only what the fleet manager would want to see. These critical events include stop sign and red-light violations, harsh braking, turns, and accelerations, reckless driving, collisions, and even collision risks. Not only does this vastly reduce the amount of actual video uploaded to the cloud server, but it gives fleet managers invaluable insights on the most important events on the road. But it goes further than that too. By being able to label certain critical events, the hardware solution can take proactive, real-time action with in-cab driver alerts. Also, catching and labeling these events helps with producing a diver score rubric that can be applied when evaluating fleet drivers. This capability, therefore, goes beyond just limiting the amount of video uploaded, but helps fleet managers create a comprehensive management program.

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