Methods, systems, inspection robots, and storage media for detecting dead chickens in cages

By using an improved YOLOv7 model and inspection robot system, dead chickens in caged chicken houses can be automatically identified and tracked, solving the problem of low efficiency in traditional manual inspection. This achieves efficient and accurate detection of dead chickens, reduces labor costs, and reduces the spread of diseases.

CN118397652BActive Publication Date: 2026-08-14SOUTH CHINA AGRICULTURAL UNIVERSITY
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Patent Information

Application Number
CN202410425441.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-10
Publication Date
2026-08-14
Estimated Expiration
2044-04-10

AI Technical Summary

Technical Problem

Traditional manual inspections of caged chicken houses are inefficient in detecting dead chickens, making it difficult to effectively identify dead chickens in upper cages. Furthermore, they are labor-intensive and can easily lead to the spread of diseases.

Method used

An improved YOLOv7 model was adopted, combined with the MobileNetv3 lightweight network and CBAM attention module, and Repulsion Loss and DIoU-NMS non-maximum suppression were added. The model automatically captured images of chickens through inspection robots and gimbal cameras, identified and tracked dead chickens, and trained the dead chicken detection model using knowledge distillation technology.

Benefits of technology

It enables automated, rapid, and accurate identification of dead chickens, reducing labor costs, decreasing the risk of disease transmission, and improving breeding efficiency and product quality.

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Abstract

This invention discloses a method, system, inspection robot, and storage medium for detecting dead chickens in cages. The method includes: acquiring chicken video streams via a gimbal camera during inspection; preprocessing single-frame chicken images to remove the cage railing area; inputting the chicken image with the railing area removed into a trained dead chicken detection model for detection, outputting chicken category, detection box location information, and confidence score; if a dead chicken is detected, saving the dead chicken information and controlling the gimbal camera to track and capture the dead chicken's location within a preset time; and uploading the saved dead chicken information to a management platform for display after inspection. This invention not only improves the efficiency and accuracy of dead chicken detection but also significantly reduces labor costs by reducing the need for manual inspection; simultaneously, it protects the health of the flock, thereby improving overall breeding efficiency and product quality.
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