Character detection, also known as OCR or OCV detection, and camera lens defect detection, is a specialized process for identifying and inspecting printed or engraved characters on the surfaces of various electronic components, mobile phone keyboards, computer keyboards, and other items. Common characters include numbers, English letters, symbols, and Chinese characters. Many companies worldwide that research machine vision have developed corresponding detection software. After simple settings, the software can automatically recognize and inspect the characters being detected. In case of anomalies, it can trigger alarms or stop machine operations. Control signals can be output after inspecting workpieces that do not meet requirements, and the degree of automation is quite high.


Bonding, infusion, coating, sealing, filling, droplet, linear/curved/circular glue application in product processing. Features: 1. Tubular rotary glue control; Standard, digital timer control. 2. Drip pen tip with micro-motion touch switch, easy to operate; no air pressure required, just plug in the power to work. 3. Materials can be used directly in original packaging containers; quick exchange of glue tubes without cleaning or adjustment required. 4. Automatic back-suction function to prevent drips. 5. Needles: stainless steel needles, camera lens defect detection, stainless steel bent corner needles.

The following description is detailed, combining the attached illustrations and specific implementation methods. The implementation methods cannot be fully elaborated here, but the invention is not thereby limited to the following implementations.

As shown in Figure 1, industrial camera lens defect detection. The lens defect detection method of the present invention includes: s1, detecting defects on the lens face and boss; s2, detecting defects in the internal structure of the lens; s3, detecting defects on the lens top and bottom surfaces. According to the concept of the present invention, in actual operation, the steps s1, s2, and s3 of the detection method can be arbitrarily switched.

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