Design and experiment of dead chicken recognition robot system
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Abstract
In order to solve the problems of low efficiency, high labor intensity and high breeding cost caused by manual operation in the identification of caged dead chickens in large-scale breeding farms at present, a dead chicken identification algorithm based on temperature judgment is designed based on robot technology, infrared thermal imaging technology and image processing technology, taking laminated caged broilers as the research object. In terms of recognition algorithm, firstly, Otsu algorithm is used to segment chickens from the background, then open operation is used to remove some small noise areas, and finally the maximum temperature of the remaining area is extracted to determine whether there are dead chickens in the cage. In the aspect of hardware design, through the function analysis of the robot, the main hardware selection and system development are completed. The dead chicken detection test was carried out on the dead chicken identification robot system. The results showed that the identification rate of dead chicken in the upper coop was 83.0%, the identification rate of dead chicken in the lower coop was 77.0%, and the overall recognition rate was 80.0%.
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