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Development of Auto Tracking and Target Fixing Gun using Machine Vision

In this modern world, protecting ourselves and our belongings has become inevitably important. The already existing security systems like surveillance cameras can identify the mishaps but cannot prevent or react to it. This project aims to add more to the surveillance and specifically proposed for restricted areas. The Raspberry Pi 4 is used as the base processor for the image processing applications and several test cases have been exploited in considerations for different areas. A 8MP NoIR v2 camera is used along with the IR LEDs for enabling a proper vision even during no light and twilight conditions. Python 3 is used as a primary source for obtaining the desired machine learning results. The gun turret is mounted on the servo motor which points to the person of suspicion by using the co-ordinates fed to the servo. Based on the training dataset accuracy the module can be operated either in Automatic (Full control) or in Semi Automatic Mode (Asks for trigger through a web application to take an action.).