Real-time Pedestrian Detection using Python & OpenCV

Take the lead with real time pedestrian detection made in Python OpenCV!

RT-PD is a pedestrian detection system which employs utilization of Python programming language and Open Computer Vision (OpenCV) to detect and track pedestrians in real time video feeds or recorded video. Using the computer vision and machine learning, the system has been designed to identify people in various conditions such as; in the road with or without traffic signal, in intermediary road, in parking lots etc. Python together with OpenCV makes real-time processing possible on the frames; human shapes and movements are detected while other unnecessary parts of the images are reduced allowing consideration of pedestrian safety and their movement.

This technology is important in the creation of smart cities, self-driving cars and high end security systems. Real time pedestrian detection makes driving safer as it provides car drivers or self-driven cars with information that they need about pedestrians and the likelihood of an accident occuring. Traffic flow, security, and surveillance, and even simple retail store analysis are some of the areas where MotionDSP’s product offers a full package and high efficiency in tracking human movement in the given situation.