Computer vision is a field of science related to computers and software systems that can recognize and understand images and scenes. Computer vision consists of various aspects such as image recognition, object recognition, image generation, and image super-resolution. Object recognition is widely used in face recognition, vehicle recognition, pedestrian counting, web images, security systems, and self-driving cars. This project will use very accurate object detection algorithms and methods such as RCNN, FastRCNN, FasterRCNN, RetinaNet, and fast and accurate ones such as SSD and YOLO. Using these methods and algorithms based on machine learning-based deep learning requires a lot of understanding of the math and deep learning frameworks by using dependencies such as tensorflow, opencv, imageai, etc. .. Discover objects in the highlighted rectangular box, identify individual objects, and assign their tags to them. This includes the precision of any method of identifying an object.
suntech software solutions provides best switch to onlane object detection using raspberry pi project with complete description and project report, and complete on call guidance related to the project order now.
Component List
- raspberry pi
- webCam
- Powersupply
- wires and connector
Features
- detectects almost each objects captured in camera
