Automated Visual Inspection Configuration for Remote Defect Model Retraining
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Solution Overview
Problem
Existing automated visual inspection (AVI) systems require manual reconfiguration and re-training of defect recognition models for customized products, which is cumbersome and inefficient due to geographical separation of manufacturers and suppliers.
Innovation Solution
A flexible and intuitive system that uses a mobile electronic device to record camera settings and acquire images, which are then transmitted to a remote device for re-training the defect recognition model, allowing for seamless configuration and updating of AVI systems for different product models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual reconfiguration and re-training of defect recognition models is performed for customized products, then inspection accuracy for different product models can be maintained, but the process becomes cumbersome and inefficient due to geographical separation of manufacturers and suppliers
Solution Approach 1:
The patent applies the copying principle by creating a virtual copy of the inspection configuration process. The supplier's electronic device remotely accesses and copies the manufacturer's inspection system parameters, golden samples, and defect samples through data transmission, eliminating the need for physical on-site reconfiguration. This allows the defect recognition model to be re-trained for different product models without manual intervention at the manufacturer's location.
2Reliability
If on-site manual intervention is required for configuring AVI systems for new product models, then proper system setup can be ensured, but the process requires time-consuming travel and physical presence
Solution Approach 1:
The patent replaces the mechanical system of physical travel and on-site manual configuration with an automated electronic system. The supplier's electronic device communicates with the manufacturer's AVI system through data transmission networks, automatically acquiring inspection parameters, golden samples, and defect samples. This substitution eliminates the need for physical presence while maintaining configuration reliability through automated data collection and model re-training processes.
3Adaptability or versatility
If multiple configuration parameters need to be adjusted for different product models, then inspection adaptability is improved, but the complexity of reconfiguration increases
Solution Approach 1:
The patent applies the self-service principle by enabling the AVI system to automatically adapt to different product models without external manual intervention. The supplier's electronic device remotely retrieves inspection parameters, golden samples, and defect samples from the manufacturer's system, automatically re-trains the defect recognition model for the new product model, and updates the system configuration. This self-service capability allows the system to handle multiple product models independently, reducing reconfiguration complexity while maintaining high adaptability.
Data Source
AI summary
A flexible and intuitive system is disclosed, and is disposed to be coupled to at least one camera, at least one robotic arm and a host electronic device of an AVI system. During a normal operation of the system, a configuration parameter setting of the AVI system can be completed after at least one time of robotic arm setting operation and at least one time of camera setting operation are conducted. After that, a plurality of article images acquired from a specific article by the camera are upload to a remote electronic device by the system, such that the remote electronic device utilizes the article images to update (re-train) a defect recognition model. Consequently, after the system integrates the defect recognition model into a defect recognition program that is installed in the host electronic device, the AVI system is hence configured for conducting an appearance inspection of the article.