RevEye Automatic Optical Inspection - RevEye-Integral >>>

RevEye automatic optical defect detection Based on independently developed mathematical models and algorithms, in-depth research is conducted on the surface characteristics of objects, combined with independent lighting technology to form advanced AOI theory, which is used to detect appearance defects such as scratches, bumps, dirt, color differences, etc. on the irregular surface of metal products.

RevEye IntegralMainly used for defect detection of precision circuit boards, with fast detection speed and high accuracy.

Including but not limited to the following types of defects:

·Outer distance (edge detection)

·Diameter and hole spacing of solder joint holes

·Number and spacing of chip pins

·Character recognition on the board

·Surface defects on the display screen

·Detection of glass or smooth surface characteristics

·Simple 3D measurement

Equipment features

1、 Wide applicability:

Appearance defect detection and dimensional measurement of various shaped automotive components, medical devices, hard disk components, various hardware components and other products

2、 High precision:

·Defect resolution+/-3 pixels;

·Repetitive positioning accuracy+/-1 pixel; P/T value ≤ 0.30;

·Support internal LAN and external Internet, remote real-time monitoring of equipment status, improve detection repeatability and reliability

·Smart Guide is particularly helpful in achieving precise detection of surfaces with different detection standards requirements

3、 High speed:

Auto Cam and Auto Cal systems can help achieve automatic calibration and optical imaging system parameter settings, respectively, achieving high-level inspectionMeasurement speed of 0.25 seconds/MB (complete the capture, processing, and analysis of 10 images of 5MP size within 12 seconds)

4、 Independent intellectual property rights:

The following high-speed and precise software tools (patent application pending)

·AutoCal: An Automatic Calibration Tool for Precise Maintenance and Repair

·AutoCam: an automatic optical camera and lighting parameter setting tool that can achieve optimal image quality

·AutoMask: a tool that can automatically achieve optimal image matching

·SmartGuide: A tool for guiding the setting of optimal detection parameters

·Edging: Edge Processing Scheme in Image Processing

·Pattern Recognition: Type Recognition Algorithm in Defect Detection

Test case

Equipment performance specifications