In view of the overload detection of current lift platform’s number of people is mainly manual work, which has manmade interference and its disadvantages are very obvious, a lift platform based on computer vision image statistical method was put forward. Discrete wavelet transform algorithm was used to denoise the collect images of lift platform and the Gaussian curve fitting method was used to have image feature extraction. The change of head and the grey value of contour area of background are continuous. There are differences between the texture features of workers contour and the contour of a background. And the gray value of workers contour edge pixel has gradient change. We divided the head and marked and counted the characteristics of personnel area according to segmentation result. The experimental results show that the method used can have statistics on the number of people on the elevator platform accurately and its error is less than 5%, which can meet the demand of practical application.