RevEye automatic optical detection - RevEye-Precision >>>
RevEye automatic optical defect detection be based onIndependently developed mathematical models and algorithms for in-depth research on surface features of objects, combined with autonomous lighting technology, to form advanced AOI theory forDetect scratches, bumps, and dirt on the irregular surface of metal productsAppearance defects such as stains and color differences.
RevEye Precision Mainly used for defect detection of machined components in the data storage industry, this type of object has different detection accuracy requirements for different parts of its surface. RevEye Precision can customize the detection area by independently setting validated parameters, and easily and effectively complete defect requirement detection at specific locations. If there are new changes in the testing specifications, parameter changes and functional confirmation can be achieved in a short period of time.
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, remotely monitor the status of equipment in real time, and improve the repeatability and reliability of detection;
·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 inspectionMeasure the speed at 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
High precision automotive components High precision automotive parts |
High precision machined parts High precision machining parts |
Intelligent wearable devices Smart wearable devices |
Scratches Scratch |
dirty Contamination |
Concave pit Dent |
Color difference Discoloration |
Equipment performance specifications
project |
describe |
Testing sample material |
Metal/Glass (2020) |
Color |
Can detect colors other than black and white (grayscale values 245-255 and 0-20 are not detectable) |
Testing surface |
Flat/curved surface (slight undulations) Surface inside the hole |
Test sample size |
Min: 10*10*10mm Max: 500*500*100mm |
Defect type |
Scratches, bumps, dirt, and color differences Dimensional measurement (2D error 0.1% -20%, depending on the detection surface) Defect Count |
Detection accuracy |
Three precision options are available: 20um/50um/100um (with different camera and mechanical platform configurations) |
Detection speed |
<12 seconds (10 irregular surfaces) |
Loading and unloading methods |
Supports manual, automatic, and robotic arms |
Equipment size |
960mm (length) * 920mm (width) * 2000mm (height) 960mm(L)*920mm(W)*2000mm(H) |
Equipment weight |
600kg |
Power supply |
100V~264V 50/60Hz, 1.8KW |