Multi-Orientation Product Detection System for Injection Molding Quality
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Solution Overview
Problem
The efficiency and quality of manual inspection of injection molded products are not high, necessitating an automated system for quality detection.
Innovation Solution
A product detection system comprising a cabinet with an upper and lower compartment, where the product detection device includes a conveying system and multiple imaging devices to capture images from different orientations, and a control device with a quality judgment module to determine product quality, enabling automatic sorting of qualified and unqualified products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection is used, then device complexity is low, but productivity and measurement precision are insufficient
Solution Approach 1:
The detection system is segmented into multiple independent imaging devices (first imaging device, second imaging device, third imaging device) positioned at different locations, each capturing images from specific orientations. This segmentation allows parallel processing of detection tasks, improving overall productivity while keeping each individual component relatively simple.
Solution Approach 2:
The control device serves multiple functions: it controls the product conveying device, coordinates the multiple imaging devices, and performs quality judgment based on images from all orientations. This multi-functionality consolidates complexity into a single control unit while maintaining high detection efficiency.
2Measurement precision
If manual inspection is used, then device complexity is low, but measurement precision and quality control are insufficient
Solution Approach 1:
The system transitions from single-point manual inspection to multi-dimensional imaging by positioning imaging devices at different locations and orientations (first, second, and third orientations). This dimensional expansion provides comprehensive view of the product from multiple angles, significantly improving measurement precision and quality detection accuracy.
Solution Approach 2:
Instead of relying on human eyes and manual inspection, the system creates optical copies (images) of the product from multiple orientations. These digital copies are then analyzed by the control device, eliminating human error and providing consistent, high-precision quality measurement.
3Reliability
If automated detection with multiple imaging devices is used, then productivity and measurement precision are improved, but device complexity increases
Solution Approach 1:
Multiple imaging devices and their captured images are merged into a unified detection process controlled by a single control device. The control device integrates images from different orientations and makes comprehensive quality judgments, improving reliability while managing system complexity through centralized coordination.
Solution Approach 2:
The system implements feedback through the control device that receives images from all imaging devices, analyzes quality based on predetermined criteria, and provides judgment results. This feedback mechanism ensures consistent and reliable quality control by continuously monitoring and evaluating product quality against established standards.
Data Source
AI summary
A product detection system includes a cabinet having an upper cabinet and a lower cabinet, a product detection device installed in the upper cabinet and detecting a quality of a product, and a control device installed in the lower cabinet and electrically connected to the product detection device. The product detection device includes a product conveying device conveying a product and a plurality of imaging devices arranged at different positions in a conveying direction of the product. The imaging devices capture images of the product from a plurality of different orientations. The control device includes a quality judgment module determining whether a quality of the product is qualified based on the captured images.