The Challenge: The Limits of Manual Micro-Inspection

While modern automotive smart keys may look unassuming on the outside, their core functionality relies on highly sophisticated internal microchips. Because these chips are mass-produced in enormous volumes, ensuring 100% quality control is a significant challenge for manufacturers.

The primary issue? Size and Complexity.

An automotive key chip is barely the size of a fingernail. The defects that occur during manufacturing—such as micro-cracks, tiny scratches, or exposed copper—are highly complex and often microscopic. Relying on human workers to manually inspect these chips under magnifying lamps quickly leads to severe visual fatigue. The dazzling, repetitive nature of the work makes it incredibly prone to errors, missed defects, and inconsistent quality standards.

To eliminate the headaches of manual inspection, the client partnered with Openex Automation to develop a fully automated, AI-driven inspection solution.

The Solution: Openex AI-Powered Vision Inspection

Openex engineered a customized Vision Inspection System powered by advanced AI Deep Learning models. By training the AI to recognize the difference between acceptable cosmetic variations and true functional defects, the system achieves a level of precision, speed, and reliability that human inspectors simply cannot match.

Furthermore, this equipment goes beyond simple sorting. It is designed to act as a bridge in the smart factory ecosystem, seamlessly docking with the enterprise’s upstream and downstream production lines and software systems to lay a solid foundation for digital transformation.

Inspection Scope & Capabilities

Inspection Object: Automotive Key Microchips

The Openex system performs dual-function inspection, handling both metrology (measurement) and cosmetic flaw detection simultaneously.

1. Dimensional Measurement: High-precision measurement of all critical dimensions across various parts of the chip to ensure perfect fitment into the key fob housing.

2. Surface & Structural Defect Detection: The AI vision model is trained to accurately identify and reject chips with the following defects:

• Surface Scratches
• Physical Damage / Breakage
• Exposed Copper
• Poor Injection Molding (Short shots, flash, etc.)
• Side Patch Dirt / Contamination
• Bottom Damage
• Bottom Patch Dirt
• Side Cracking

Key Equipment Features & Performance

Our automated solution was built to meet the rigorous demands of high-volume automotive tier suppliers. The system features:

• High-Speed Processing: The machine steadily inspects 1,500 pieces per hour, ensuring quality control easily keeps pace with mass production outputs.
• Micron-Level Precision:
  • Defect Detection Accuracy: Can identify complex micro-defects down to 0.2 x 0.2 x 0.1 mm.
  • Dimensional Accuracy: Measures tolerances strictly up to 0.05 mm.
• Fully Automated Handling (Zero Human Intervention): The system is equipped with a Vision-Guided Robot for automated precision loading, and a PPU (Pick and Place Unit / Manipulator) for automated unloading and sorting.
• Intelligent Posture Adjustment for Seamless Integration: We don’t just sort the chips; we prepare them for the next step. A dedicated camera monitors the discharge port to verify and adjust the spatial posture of the approved chips. This ensures that every good product flows out in the exact orientation required, allowing for seamless docking with the downstream assembly line.

Watch the Machine in Action

See how the Openex AI Vision Inspection system handles automated loading, high-speed optical scanning, and precise posture-adjusted unloading.

Conclusion: Powering the Digital Factory

By combining AI deep learning with robotic handling, Openex Automation completely solved the client’s manual inspection bottleneck. The result is a highly reliable, zero-defect quality control process that integrates directly into their Industry 4.0 infrastructure.

Do you manufacture micro-components, chips, or precision electronics?

Don’t let manual inspection slow down your production or compromise your quality. Contact the engineering team at [email protected] today to discuss a custom AI vision solution for your parts.