Manual assembly visual detection error prevention method and system

Abstract

The invention provides a manual assembly visual detection error prevention method and system. Through associating the assembly process guide information for assembly simulation and assembly state identification information extracted from a sample video according to an operation sequence, an error prevention early alarm information model is generated, and equipment and a working space are calibrated in the model. Then the assembly schedule and assembly state of manual assembly are monitored, and the assembly behavior recognition, the assembly in-place recognition and assembly part recognition are carried out, and finally the assembly correctness is judged, error prevention information comprising a rendering synthesis image and assembly process guide information and assembly state identification information are exported from the error prevention early alarm information model if the assembly is wrong, and the multi-channel synchronous display is carried out in a plurality of display output devices. According to the method and the system, the error in a manual assembly process can be prevented, error prevention guide information is provided for manual assembly personnel in a mode of visual feedback, the times of self inspection and manual inspection are saved, and the assembly efficiency and one-time completion rate are improved.

Description

technical field [0001] The invention relates to a technology in the field of intelligent manufacturing, in particular to a manual assembly visual detection error prevention method and system. Background technique [0002] Assembly error prevention is to replace manual repetitive labor through the application of error prevention technology and devices, and eliminate defects caused by difficulty in maintaining a high degree of attention and memory. [0003] Visual gesture recognition refers to predicting or judging human interaction intentions by extracting gesture image features. For unconscious natural operation gestures, the gesture image features are expressed and processed by the method of statistical model recognition, and effective gesture image features and recognition conditions are obtained. Contents of the invention [0004] The present invention aims at the characteristics that most of the existing technologies need to rely on the identification of assembly in p...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the characteristics that most of the existing technologies need to rely on the identification of assembly in place to prevent errors or to prevent errors through video recording, resulting in the inability to give feedback to the assembly personnel in time during the assembly process, requiring rework time, or requiring the actual operating angle of view to conform to the sample as much as possible The angle of view during video collection has a low degree of discrimination between different operators and fine operation actions, and it cannot cover the defects of complex assembly operations with two-handed cooperation. A method and system for manual assembly visual inspection and error prevention are proposed, which can significantly improve the overall assembly process. Efficiency and first-time completion rate

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