Deep learning based Facial Anti-retention

摘要

It is inevitable that increasing private cars pose some potential dangers to the whole society in silence. Due to the negligence of parents, children are often locked in the car alone, causing some accidents. Therefore, in view of the existing problems, the system based on facial features is developed to enhance the safety of children's riding. This system is a child-safety system based on human face features, which can effectively determine the personal safety of children stranded in the vehicle after the vehicle is parked. The whole process includes three main points: facial detection, age recognition and expression recognition. The system performs face detection on four seats in the car, judges whether there are children in the car through age recognition, and determines the status of children in the car by expression recognition. And it concludes whether the children are safe according to expressions of children without human interface.