Surveillance Robotic Car

Surveillance robotic cars, equipped with a myriad of modules, cameras, and communication systems, traverse diverse environments, providing real time data for surveillance purposes. These vehicles, equipped with PiRGB arrays and high resolution cameras, capture detailed, real time imagery for effective threat detection. Using Haarcascade Classifier and OpenCV, they track human faces. Algorithms like Pigpio, Haarcascade, and Local Binary Patterns Histograms helps in identifying face detection and motion tracking, while GPS Neo 6M, GSM SIM 800L, HC-05 Bluetooth module, and Arduino Uno ensure accurate location tracking of the vehicle. Hardware such as the Arduino Uno and Motor Driver L293D supports precise movement of the vehicle. The metal detector, paired with a buzzer, identifies metallic objects present on the navigation path of the vehicle. These surveillance robotic cars can be deployed in various environments, from urban areas to dense forests.