This project focuses on the design and implementation of a vehicle collision avoidance detection system utilizing millimeter-wave (mmWave) radar technology and a PIC microcontroller kit. Vehicle collisions remain a significant cause of fatalities and injuries worldwide, necessitating advanced safety measures. The proposed system employs mmWave radar for its capability to accurately detect objects and measure their velocity, making it ideal for collision avoidance applications. The PIC microcontroller serves as the central processing unit, facilitating real-time data processing and decision-making. Upon detecting an obstacle within the predefined danger zone, the system triggers appropriate actions to avoid a collision. These actions may include alerting the driver, activating braking systems, or steering the vehicle away from the obstacle. The hardware setup involves connecting the mmWave radar sensors and PIC microcontroller kit, ensuring seamless communication and data exchange. Software development encompasses the programming of algorithms for object detection, collision prediction, and decision-making logic. Testing and validation are conducted through simulated scenarios and real-world experiments to assess the system's performance, accuracy, and reliability. The project aims to develop a robust collision avoidance detection system capable of enhancing vehicle safety and reducing the risk of accidents on the road.

Keywords: Vehicle collision avoidance, mmWave radar, PIC microcontroller, Object detection, Real-time processing.