Description
1、Apply AI deep learning algorithm to achieve strong Inspection Capability：Deep learning network create multiple levels of abstraction layers to represent data features, and filter them through a classification layer of features to obtain identification results. The application of deep learning algorithms in the field of industrial inspection can solve the two traditional algorithm pain points of long programming time and high false alarm rate.
2、Auto search component /Intelligent adjust parameter：Auto search to locate and configure parameter nearly a hundred component types, auto dentify the polarity of resistors, optocouplers, sockets, etc.Programming time 10-20min, debugging time 10-15min
3、Intelligent color ring inspection algorithm：Based on the deep learning algorithm, input color ring resistance template and picture into the deep network to extract high-dimensional feature sequences, result come by comparing these high-dimensional feature sequences.
4、Inspect socket absent/ polarity /wrong ：Apply deep learning algorithm to achieve the inspection for absent/ polarity /wrong
Category | Item | AIS203-HW | AIS203P-HW |
Optical specifification | Camera | 20MP, color | 31MP, color |
Light source | Hight light LED Open flat light+Hight Intensity Low Angle Light | ||
FOV | 400*266mm | 520*390mm | |
Resolution ratio | 75um | 80um | |
Inspection-related | Components | Missing, Reversed, Offffset, Broken, Extra, Foreignmaterial, Dirty, etc. | |
Other function | NG tracking bar(optional), Control box(optional), Mixed material inspection, Panel inspection. | ||
Mixing boards inspection | Support calling program automatically | ||
Algorithm | CNN, Color contrast, Template matching, OCR, etc. | ||
Software | Operating system | Ubuntu 18.04 LTS 64bit | |
Function | Remote control, Remote assistance, CAD file import and user-defined model training | ||
Communication method | Standard SMEMA interface | ||
Data output | Autogenerated statistic analysis SPC | ||
Special function | Automatic search of elements and quick programming | ||
Hardware | Industrial control host | Display card: NVIDIA GTX1050Ti Memory: 16G DDR4, 256G SSD+2T Mechanical Hard Disk Network: 1000M Wired Network Card | CPU: intel i7 Display card: NVIDIA GTX1050Ti Memory: 24G DDR4, 256G SSD+2T Mech-anical Hard Disk Network: 1000M Wired Network Card |
Display | 23.8 inch FHD display | ||
Appearance /electric | Dimention and weight | （L*H*W）715*（1315-1700）*（790-1210）mm，Net weight:100Kg | |
Power supply and power | AC 220V, rated power 200W | ||
Air source | 0.4-0.6Mpa | ||
Work environment | Temperature: 10~45℃. Humidity: 30~85%RH | ||
