{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d9ba9e61f13944d794c0ee060379e7ee\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d9ba9e61f13944d794c0ee060379e7ee-00001.gif","duration":27.186,"title":"Vehicle Detection and Traffic Monitoring System","description":"In this video, I demonstrate a Python program that uses computer vision techniques to detect vehicles in video streams and monitor traffic volume. I also show how we utilized OpenCV for video processing. The program is able to detect vehicles in real-time and includes an alert for high traffic congestion. Watch the video to learn more about this vehicle detection and traffic monitoring system."}