Sensor Tracking System using Radar and Object Detection

Sensor technology has impacted and transformed several commercial and military industries, from automotive to defense, to personal security applications. Adopting Computer Vision techniques such as Object Detection helps boost the system's capabilities in tracking and classification. A previous study looked at optimizing a Radar System that relied on the processing power of the Raspberry Pi 4. Since the Raspberry Pi 4 is not an ideal device for a real-time environment, this experiment aims to improve on that aspect by utilizing the processing power of the Jetson TX2 to boost the system's speed and reduce latency between the Object Detection and Velocity calculation. The experiment will be repeated using the Jetson hardware to mimic the same scenarios in common tracking and surveillance systems.