Military Vehicles Object Detection System

The Military Vehicle Detection project aims to improve situational awareness in military operations by creating an automated system capable of detecting, classifying, and tracking military vehicles in real-time. Using advanced deep learning methods like convolutional neural networks (CNNs), the system analyzes live video feeds or static images to accurately identify different military vehicles such as tanks and armored personnel carriers. A user-friendly web interface allows operators to view detection results and access historical data easily. Additionally, the system includes a number plate detection feature, enhancing security by identifying and verifying vehicle information. This paper aims to enhance operational efficiency and decision-making in military environments by enabling quick identification and monitoring of military assets.