Online Quality Inspection Online Quality Inspection
Online Quality Inspection

Online Quality Inspection

The online quality inspection system for automotive sheet metal stamping parts automatically retrieves the visual inspection recipe based on the stamping workpiece model. Utilizing advanced robotic vision technology, it integrates deep learning algorithms and image processing techniques to simulate the human visual system, conducting comprehensive and high-precision inspections of stamped sheet metal parts. This system replaces manual quality checks, enhancing inspection reliability and stability, and effectively reducing the probability of defective products being released.

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Online Quality Inspection

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Detailed Description

The online quality inspection system for automotive sheet metal stamping parts automatically retrieves visual inspection recipes based on the stamping workpiece model. Utilizing advanced robotic vision technology, integrating deep learning algorithms and image processing techniques, it simulates the human visual system to perform comprehensive and high-precision inspections of stamped sheet metal parts. This replaces manual quality checks, improves inspection reliability and stability, and effectively reduces the probability of defective products being released. Additionally, periodic manual sampling inspections are equipped to effectively prevent large-scale defective outflows.

Defect types detected: Capable of accurately identifying various common defects in formed sheet metal parts, such as pitting, dents, deformation, excessive or insufficient holes, cracking, wrinkling, and other defects.

Inspection data management: Automatically records monitoring data and generates detailed quality reports, providing strong data support for quality traceability and process optimization in the acoustic field process.

 

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