Multi-Sensor Passive Ranger (MSPR)

The MSPR is a system designed to utilize passive range-finding methods to determine the distance of an object from the device in real-time. The system makes use of a stereo camera system in addition to an IR camera to extract the range from a camera feed. The system is designed with a small form factor through the use of the Nvidia Jetson Nano as a microprocessor board at the center of the project. We applied OpenCV and TensorRT to perform the image processing and object detection algorithms respectively written in Python for its ease of use and portability. Additionally, before we were able to begin implementing our designs, we first had to calibrate the camera systems using optical engineering techniques to rectify the distortion present in the camera systems. The final design is able to process camera feeds in real-time, track objects, extract their distance, and display this distance in a GUI format. This project was sponsored by the Airforce Research Labs, who provided us with the IR camera that we used to implement this design.