Label Positioning and Character Detection for Electronic Products

Project Background

This project involves positioning labels and detecting characters on electronic products. Most products on the market carry labels that include branding, product performance, serial numbers, and other essential information for traceability and branding. Implementing a machine vision-based inspection system enables automated recognition, reducing human labor and improving efficiency.

Project Challenges

1. Reflective Material: The product's material may cause glare or reflections, complicating visual inspection.
2. Multiple Workpieces: Simultaneous inspection of multiple pieces requires a wide field of view and high accuracy.

Solution

Overall Objective

Coordinate with the customer to design an effective lighting setup, select appropriate machine vision hardware, and meet project requirements.

Customer Requirements

1. Field of View (FOV): 100mm x 80mm
   • The FOV must cover the production tray.
2. Working Distance: 170mm
   • The distance should be practical for the production environment and within the recommended range.
3. Complete Hardware Solution
   • Provide a comprehensive hardware solution that integrates with the software for image recognition and analysis.
   • Clear and distinct images that emphasize character outlines, ensuring effective software collaboration.

Configuration Parameters

1. Project Configuration Table
   • This table outlines the components needed for the project, including the camera, lens, light sources, and additional hardware.
2. Customer-Provided Samples
   • Analyze the samples to determine the necessary field of view, working distance, and light source configuration for 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 115mm x 86mm, allowing for detection within this range.
• Light Source Setup: Light sources are positioned at a 45-degree angle to the product, ensuring proper illumination and minimizing reflections.
• Light Source Spacing: The distance between the two light sources is 160mm, ensuring even coverage.

Results

• Lighting Setup: Achieved optimal lighting conditions, reducing glare and reflections while providing clear images for software analysis.
• Character Recognition: Ensured clear and distinct character outlines, facilitating automated recognition and accurate inspection.
• Efficiency Improvement: Reduced human intervention in the inspection process, improving overall production efficiency.

Effectiveness

Based on the lighting setup and hardware selection, the system effectively detects and analyzes labels and characters on electronic products. The solution meets the customer's requirements for automated inspection, enhancing production quality and traceability.

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.

FALenses Technology specializes in providing machine vision core hardware. You can go to the official website of FALenses Technology at https://www.falenses.com/ for more information.