PIG FACE DETECTION ALGORITHM AND SUPPLEMENTARY LIGHT SYSTEM DESIGN BASED ON OPEN MV3

Abstract

Individual pig recognition is an essential step for accurate breeding and intelligent management of pigs. To realize individual pig identification, applicable dataset of pigs needs to be built. For pigs’ behaviour is difficult to control, the data acquisition is of great difficulty and low efficiency. In addition, few reports on pig face detection are there at home and abroad, thus, face data acquisition faces more difficulty. In this study, double open mv3 digital cameras were adopted, and the approach of starting the pig face acquisition program by acquiring pig figure with a vertical camera to calculate the slope of their back before sending a signal to the horizontal camera was adopted. The image brightness was calculated based on RGB function: when the value was less than 90, the supplementary light system would be started by L298 module, and when the value was more than 120, the acquisition system would be restarted. This study provides a reference for solving the key problem of automatic acquisition of pig face data for pig face detection.