Accurate lane change detection is crucial for enhancing road safety and enabling advanced driver assistance systems (ADAS), especially in real-world environments with arbitrary and non-standardized road infrastructures. This project presents a smart Lane Change Detection system using a Raspberry Pi as the core processing unit. A USB web camera is employed for continuous video capture to detect lane markings and monitor lane-changing behavior using computer vision techniques. A MEMS sensor is integrated to detect sudden impacts indicating possible accidents, while an ultrasonic sensor is used for real-time obstacle detection in adjacent lanes. The system also includes a GPS module to track vehicle location and a GSM module to send emergency alerts in case of abnormal events such as collisions. An LCD display provides live feedback to the driver regarding lane status and detected events. This integrated, real-time system offers a cost-effective and reliable solution for monitoring and assisting safe lane changes in diverse road conditions.
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