Household appliance assembling and warehousing method based on visual guidance and energy label identification
By using an extended state vector Kalman filter and a band-directed mask matching strategy for target tracking, combined with a dynamic color mapping algorithm to identify energy efficiency levels, the detection error problem caused by environmental interference on household water lines is solved, enabling high-precision, high-speed flexible production and automated warehousing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA JILIANG UNIV
- Filing Date
- 2026-06-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies face challenges in household electric water production lines, including large detection errors, unstable target tracking, and inaccurate energy efficiency label recognition caused by environmental interference such as changes in lighting and shading. These issues make it difficult to achieve flexible production with high precision and high cycle time.
The system employs an extended state vector Kalman filter and a band-directed mask matching strategy for target tracking, combined with a dynamic color mapping algorithm to identify energy efficiency levels, and achieves precise assembly and warehousing of home appliances through visual guidance.
It has achieved stability in parts tracking and accuracy in energy efficiency level identification in complex environments, improved production cycle time and sorting efficiency, and ensured the long-term reliability of the system.
Smart Images
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