Application Research of YOLO v2 Combined with Color Identification

Abstract

In order to be able to make the image recognition and color recognition better fusion and application, this paper uses the YOLO v2 network that achieves excellent results in the target detection field, which can be through the training of traffic light samples to achieve the high speed and accuracy of identifying and positioning the traffic lights, in combination with the HSV color model, design the ratio of the red and green colors in the located area, identify the red and green colors, and then determine the status of the traffic lights. Through this study, we can understand the possibility of using YOLO v2 network in more fields, and at the same time combine color recognition to make YOLO v2 can get more extensive application.