Recognition of Weapons and Military Equipment in a Video Stream Using Computer Vision Libraries in Real Time

Abstract

The analysis of the market for frameworks and libraries in the fields of deep learning and computer vision was carried out. Methods of object recognition were considered, both based on neural networks and without, and the most successful ones were identified. A neural network was trained and a program was created to recognize objects in the video stream in real time.