The Vision-Based Live Vehicle Detection And Distance Calculation Project Leverages The State-of-the-art YOLOv5 Algorithm To Provide Real-time Vehicle Detection And Accurate Distance Measurement. This Innovative Solution Is Designed To Seamlessly Analyze Both Live Video Streams And Static Images, Offering A Versatile Platform For Monitoring And Assessing Vehicle Movements.
The YOLOv5 Architecture, Known For Its High Accuracy And Speed, Has Been Employed To Detect Vehicles Within The Input Data. The Project Accommodates Two Main Modes Of Operation: Live Video Input And Image Upload. For Live Video Input, Users Can Receive Instant, Real-time Feedback On Vehicle Detection And Distance Calculation.
