Overload intelligent detection method lift platform＇s number of people under auxiliary visual

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 visionimage statistical method was put forward. Discrete wavelet transform algorithm was used to de-noise the collect im-ages of lift platform and the Gaussian curve fitting method was used to have image feature extraction. The changeof head and the grey value of contour area of background are continuous. There are differences between the texturefeatures of workers contour and the contour of a background. And the gray value of workers contour edge pixel hasgradient change. We divided the head and marked and counted the characteristics of personnel area according tosegmentation result. The experimental results show that the method used can have statistics on the number of peo-ple on the elevator platform accurately and its error is less than 5% , which can meet the demand of practical ap-plication.