One of the goal of the project is to use computer vision to monitor, track and detect events (predicated strongly on speed of moving objects). The team saddled with the responsibility has been hard at work and tested with a static camera. The breakdown of the Work plan for the Computer Vision team includes
- Automatic Landing and Recharging System (ALRS):
Traffic Monitoring (Vehicle speed estimation): CV is required for extraction of event/patterns of interest from Drone footage. vehicle speed estimation and traffic monitoring
Computer vision is required to correct possible GPS errors at the point of landing. 3. Environmental Monitoring: Fire/Smoke detection.
TO achieve the first point - Traffic Monitoring: Implementation of vehicle speed estimation. a. Object Tracking using DeepSort b. Defining ROI c. Speed calculation d. Some key considerations 2. Automatic Land and Charge. a. AruCo marker generation and detection b. Precision landing simulation 3. Next steps
Traffic Monitoring. Implementation of vehicle speed estimation 4 1. Vehicle Detection & tracking 2. Defining Region of interest (ROI) 3. Speed estimation
Vehicle detection and Tracking 5 YoloV5 and DeepSort
Speed calculation 7 x 1. Calculate time it takes vehicle to move region 1 to region 2. 2. Calculate average velocity in m/s ( x3.6 to convert to km/h
Transparent cover is opened or closed by a motorized assembly (Not shown).