Abstract: Object detection refers to the capability of computers and other systems to locate objects present in an image and identify each of them. It has been widely used for face detection in security systems, for vehicle detection in driverless cars, and so on. Existing system performs numerous simpler and complex tasks like real world object detection from videos, concealed object detection…etc. This project focuses on detecting tools from a toolkit. Output achieved an accurate result up to the expectation.
Keywords: YOLO model, Comparer, Computer vision, Machine learning.
| DOI: 10.17148/IJARCCE.2021.101248