Advance Collision Prevention System.

This chapter presents the efficient working model of the Advance Collision Prevention System (ACP System) using computer vision and machine learning (ML). The facial expression detection technique is widely used in the recognition of facial expression to understand human intention. In this chapter, we capture the driver’s face in real-time and process every frame to detect the drowsy and yawn expression to determine whether the driver is feeling sleepy or not using computer vision. Simultaneously we apply a machine-learning algorithm to detect if the driver is using a cell phone while driving. The proposed algorithm works in day and night both and makes the system (ACP System) more advance and highly efficient to prevent any such collisions which may occur due to human error like lack of concentration while driving.