Defect Detection for Computer Slot Pins

Project Background

This project requires providing a complete vision detection hardware solution for a client. The client manufactures computer slots, and the production process needs to detect pin presence and deformation. The goal is to achieve automated detection using machine vision, reducing manual labor and increasing efficiency.

Project Challenges

1. Reflective Material: The product is made of metal, which can cause reflections during inspection.
2. Small Pins: The pins on the product are small, making them challenging to inspect.
3. Simultaneous Multi-Workpiece Inspection: Multiple workpieces are inspected at once, requiring a broad field of view and high accuracy.

Solution

Overall Objective

Work with the client to develop a comprehensive vision hardware solution, ensuring optimal lighting and hardware selection for effective defect detection.

Customer Requirements

1. Field of View (FOV): 50mm x 10mm
   • The FOV must cover the entire product.
2. Working Distance: No specific requirement
   • The client has no constraints on the working distance, allowing flexibility in hardware selection and lighting setup.
3. Complete Hardware Solution
   • Provide a comprehensive hardware solution that integrates with the software for image recognition and analysis.
   • Achieve clear and distinct images, emphasizing the outline of the pins, to facilitate software-based recognition.

Configuration Parameters

1. Project Configuration Table
   • Outlines the components required for the project, including the camera, lens, and light sources.
2. Client-Provided Samples
   • Analyze the samples to determine the necessary field of view, working distance, and light source configuration to achieve optimal image clarity and differentiation.

Solution Overview

Given the customer requirements, a detailed solution was proposed:

• Working Distance and FOV: Achieved a field of view of 64.5mm x 48mm, providing adequate coverage for simultaneous multi-workpiece inspection.
• Light Source Setup: Light source installed at a height of 220mm ± 2mm, ensuring proper illumination and minimizing reflections.

Results

• Lighting Setup: Achieved optimal lighting conditions, reducing glare and reflections, and providing clear images for software analysis.
• Pin Detection: Ensured clear and distinct pin outlines, allowing automated detection and defect identification.
• Efficiency Improvement: Reduced human intervention in the inspection process, enhancing overall production efficiency.

Effectiveness

Based on the proposed lighting setup and hardware selection, the system effectively detects and analyzes pin defects in computer slots. The solution meets the customer's requirements for automated inspection, improving product quality and production efficiency.

Next Steps

• Implement the designed solution in the production environment.
• Test and calibrate the system to ensure reliable performance.
• Monitor and adjust as needed to maintain consistent inspection results.

Additional Considerations

• Software Integration: Ensure the chosen hardware integrates well with the software for smooth automated detection.
• Calibration and Maintenance: Develop a calibration and maintenance plan to keep the system running smoothly and accurately.