Computer Vision: Pedestrian Detection Algorithm for Traffic Light Control System

With the technology today, detection of pedestrian was introduced to decrease the accidents in the roads. It was implemented on the traffic lights and cars. In this paper, integration of face detection and pedestrian takes place on the device called Raspberry Pi. OpenCV was used for the detections and programmed in Python. The webcam was used to capture images in real-time. The image was processed at the microprocessor. When pedestrians were detected, the microprocessor played the recorded voice and outputs it to the connecting speaker to notify those pedestrians or the pedestrian to wait before crossing until such time. The microprocessor sends a signal to the Gizduino to process the time of the red lights on state. The microcontroller was programmed with the traffic signals. When it receives a signal from the microprocessor, it added an extra seconds to the red lights on state. Afterwards when it returned, it changed back to its original on state. The success rate was 80% this shows the two detection was integrated in the system successfully worked.