This project aims to interface a GMSL (Gigabit Multimedia Serial Link) camera with an embedded GPU board to enable high-speed object classification in industrial environments. By utilizing a GMSL camera and the Jetson Xavier NX platform, the system will capture high frame-rate video streams for real-time processing. The target of this project is to achieve real-time object classification at approximately 60 to 100 FPS. The focus will be on achieving speed and accuracy in classifying objects, validating the system’s performance in demanding industrial settings.
Keywords: GMSL, High speed object classification, Embedded GPU, Industrial Applications,High FPS,Machine Learning
Tools: Python, Pytorch, OpenCV, TensorRT, MobileNetV2,Numpy,Nvidia
Department: Department of Electrical Engineering
Tools: Python, Pytorch, OpenCV, TensorRT, MobileNetV2,Numpy,Nvidia
Department: Department of Electrical Engineering
Project Poster
