The Quality Inspection System utilizes a camera matrix combined with AI detection to replace manual visual inspections, enabling full inspection of products. This reduces the instability introduced by manual inspections and allows for uniform inspection standards across the board, reducing personnel usage and the probability of defective products leaving the production line.
Cracks
Wrinkles
Cushion waste
Scratches
Bump
Missing holes
Necking down
Indentation
Cost Reduction
Reduced personnel usage leads to cost savings.
Decreased Defect Outflow Rate
Reduces the probability of defective products outflow by 50%.
Stability
Improves inspection stability by 50%.
Standardization
Uniform inspection standards improve overall vehicle quality.
As shown in the diagram on the left, the Quality Inspection System consists of enclosed inspection environments (which do not affect existing production line structures), computational centers, electrical controls, and human-machine interaction display platforms.
1、Enclosed Inspection Environment
By building a closed testing environment above the tail belt line of the stamping line, which does not affect the existing production line structure, different types of stamping parts can be uniformly imaged from all angles when passing through the closed testing environment, ensuring stable and reliable testing results;
2、Computational Center and Electrical Controls
Corresponding to the enclosed inspection environment are the cameras, light sources for image acquisition, and the computational servers for AI defect detection inference.
3、Human-Machine Interaction Display Platform
Provides real-time display of defect detection results for on-site manual review and feedback.
1、Image Capture
Based on retrieved model information, relevant inspection programs are called to capture 360° images of the overall appearance of parts.
2、Inspection Determination
Identify the results of each detection position image, form a list for analyze and comparison.
3、Emergency monitoring and warning
Equipped with self-diagnostic functions to monitor and alert on the status of hardware and network. When the system failed to use, it provides alert notifications and ensures timely switch to manual inspection and control through authorized accounts.
