Environment-friendly operation and maintenance robot visual system and environment-friendly operation and maintenance robot
By using a 3D camera and a rotary target detector of the YOLOv8_OBB network model in the environmental operation and maintenance robot of the water quality station, the problems of large manual sampling error and large navigation positioning error in the traditional water quality station monitoring methods are solved, and efficient and accurate water quality monitoring and automatic pick-up and placement of the kit are achieved.
Patent Information
- Application Number
- CN202411597499.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-08
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2044-11-08
AI Technical Summary
Traditional water quality station monitoring methods rely on manual sampling, and have problems such as low sampling frequency and large errors, which cannot meet the real-time monitoring needs. Moreover, the large navigation and positioning error of environmentally friendly operation and maintenance robots lead to failure of operations and low success rate.
The rotation object detector of the 3D camera combined with the YOLOv8_OBB network model is adopted to obtain the rotation translation matrix of the target object and convert it into the relative motion matrix of the robot arm through image acquisition, preprocessing, object detection, data conversion and result output modules, and improve the accuracy of the robot arm grabbing.
The position estimation accuracy and robotic arm grasping accuracy of the robotic vision system of the water quality station are improved, and the operation success rate is enhanced in the case of large navigation errors, achieving efficient and accurate automatic pick-up and placement of the kit and water quality monitoring.