Automated LCD Screen Identification and Classification System
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Solution Overview
Problem
The manual identification and classification of waste mobile terminal LCD screens are inefficient, leading to high costs and reduced accuracy due to the need for multiple recycling production lines and labor-dependent processes, which complicates the recycling of mobile terminal waste.
Innovation Solution
An automated identification and classification production line utilizing neural networks and machine learning technology, comprising a size and posture identification adjustment part, a model identification part, and a classification storage device, which includes detection cameras, grabbing and moving devices, and an image acquisition system to accurately identify and classify LCD screens of various sizes and models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple recycling production lines are set up for different sizes of LCD screens, then identification coverage is improved, but recycling costs increase and production layout becomes complex
Solution Approach 1:
The patent implements a universal production line that can handle LCD screens of various sizes through adjustable guide partition plates and a movable camera system. The guide partition plates can be repositioned to accommodate different screen dimensions, and the camera can move to capture images of screens with different orientations and sizes, eliminating the need for multiple dedicated production lines.
Solution Approach 2:
The production line incorporates dynamic elements including the movable camera that can adjust its position and angle, and the adjustable guide partition plates that can be reconfigured for different screen sizes. These dynamic components allow the system to adapt to various LCD screen specifications without requiring separate fixed production lines for each size category.
2Measurement precision
If manual identification is performed by testers using microscopic equipment, then detailed inspection is possible, but identification accuracy decreases as workload and LCD screen types increase
Solution Approach 1:
The patent replaces the manual mechanical inspection process with an automated optical recognition system. A camera captures images of the LCD screens, and a computer automatically processes these images to identify screen models and characteristics. This substitution eliminates human fatigue and subjectivity, providing consistent and accurate identification regardless of workload volume.
Solution Approach 2:
The system enables self-service identification where the LCD screen's visual characteristics are automatically captured and analyzed by the computer system without requiring human testers. The automated image processing and model identification algorithms perform the classification task independently, significantly improving productivity while maintaining or enhancing identification accuracy.
3Productivity
If automated recognition systems are implemented, then identification efficiency and accuracy are improved, but system complexity increases
Solution Approach 1:
The patent introduces a computer as an intermediary between the camera and the classification process. The computer captures images from the camera, processes them through recognition algorithms, and automatically determines LCD screen models. This intermediary system automates the identification process, improving efficiency and accuracy while keeping the overall system manageable through software-based solutions rather than complex mechanical automation.
Data Source
AI summary
An automatic identification and classification production line for mobile terminal liquid crystal display (LCD) screens includes a size and posture identification adjustment part, a model identification part, and a classification storage device. The size and posture identification adjustment part can transport a mobile terminal LCD screen, identify front and back surfaces of the mobile terminal LCD screen, size of the mobile terminal LCD screen, and orientation of the mobile terminal LCD screen, and adjust the front surface of the mobile terminal LCD screen to face up and the orientation of the mobile terminal LCD screen to be the same as the transportation direction during transportation. The model identification part transports the mobile terminal LCD screen after adjustment of the posture, and identifies model of the mobile terminal LCD screen according to the size during transportation. The classification storage device classifies and stores mobile terminal LCD screens according to different models.