Desktop module appearance AVI inspection is mainly used for defect detection of 3C product appearance, improving production line yield and the process control capability of manufacturers. Mainly detecting scratches, damages, pressure marks, broken edges, gaps, hidden cracks, burrs, warping, foreign objects, dirt, white spots, bubbles, pinholes, bumps and depressions, as well as component errors, leaks, reversals, excess, skewers, offsets, color differences, sizes, segments, etc.
Project |
Performance index |
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Detection system |
Detection range |
LCD module size: 3.5-12.3 inches, Max: 320 × 210mm |
Detection area |
Self selected area for detection, which can achieve Machine Vision inspection of the self selected area |
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Testing items |
Check for missing, excessive, skewed, or reversed barcode and QR code labels; |
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Check whether there are missing or unclear characters under the barcode; |
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Barcode reading gun reads barcodes and OCR character recognition; |
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Check whether the piano cover is closed; |
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Tongue detection for presence and skewness; |
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Check for tape presence, errors, and omissions; |
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Is the FPC of the module casing and the back connector inserted incorrectly; |
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Whether the screws on the module backplane are missing locks; |
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The adhesion status of the module shell adhesive tape (whether the conductive cloth, masking tape, high-temperature adhesive tape, outer frame black adhesive tape, etc. are missing or misplaced); |
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Is there any foreign object in the unlabeled area on the back; |
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CNT damage, CNT foreign matter, CNT not tightly covered detection; |
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FPC connection abnormality detection, FPC protrusion damage detection; |
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Abnormal detection of golden fingers (scratches, foreign objects, damage); |
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Metal CNT warpage detection; |
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Pin missing and skewed detection; |
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PCB component missing detection; |
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Distance measurement between black glue and protective film; |
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Position skew detection; |
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Software function |
Learning function: Read pictures of new types of products, learn about the detection area, including whether the piano cover is properly covered, whether the adhesive tape is properly attached, joint misalignment detection, barcode/QR code detection, foreign object detection, etc; |
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Detection method: Manual loading and unloading is used, with a desktop simple machine. Multiple fixed pin positions should be reserved on the feeding platform to facilitate switching between different models of modules. After the operator places the material, it can automatically sense that it has been placed and start detection (or controlled by a switch). If any abnormal products are found, the detection software will sound an alarm in a timely manner; |
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Report function: The report records the ID of the inspected module, detection results, abnormal types, etc; |
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Parameter settings: detecting parameter settings, etc; |
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User management: user addition, deletion, modification, query, permission management, user login, password modification, etc; |
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Capable of uploading images and data, and linked to the posting system; |
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Detection speed |
≤ 10 sec |
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Detection rate |
≥95% |
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Mechanical system |
Spray rust prevention treatment on the machine shell; |
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Configuration - set of optical visual acquisition system, one loading platform; |
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Software system |
Otek AVI Machine Vision Inspection Software V2.0 |
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Computer system |
Host machine |
Configure an industrial control host with an I5CPU and 8GB of memory |
The server |
AI artificial intelligence server and AI re evaluation system (optional) |
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Display output |
Configure a 21 "LCD |
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Networking |
Supports TCP/IP and Microsoft network systems |
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Code reading gun |
Configure a barcode and QR code reading gun (optional, the machine comes with barcode and QR code detection functions) |
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Others |
Power supply |
AC 220V+10%50-60HZ |
Usage environment |
Temperature: 5-40 ℃ |
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Humidity: 25-85% without condensation |
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Internal temperature of the machine |
<40℃ |
Defect image