Building a Robot to Identify Electric Vehicles from Infrared Images

Identification of electric vehicles (EV) is important from the perspective of monitoring the environmental, social, and governance (ESG) goals around sustainable transport choices. We present steps for developing a system capable of improving image quality to help the automated process of counting EV and ICE vehicles. We have built a pan-tilt camera motion system to keep the target vehicle centered in the camera and then, collected imagery by developing a data collection robot based on the Nvidia Jetson nano. The pan-tilt system was developed in two phases. In the first place, we implemented a proportional algorithm and then went on a proportional-integral, which increase the result for placing the target in the region of interest. We will be presenting the steps made to improve the collecting system.