Product Application
Detection items
Before the furnace, plug-in PCBA eror, leakage, reverse, excess, skewed and other defects detection, such as: industriacontrol, large appliances, small appliances, computers, power supplies, electric power, automotive electronics, medicaelectronics, routers, instrumentation, audio, set-top boxes and so on.
Remote Control
Technical Parameters
Functions | Alpha Z400-U |
SPC | Provide real-time and practical statistical analysis data, and provide various statistical analysis maps (ID error frequency, name error frequency, pass-through rate, etc.) |
Trace | Support traceability according to bar code, QR code, equipment model, time. Support MES system connecting,real-time output |
Multiple machine-based collinear production | Support 6 equipment models at the same time going through the workline, program automatic call |
Multi-panel detection | Real-time output of the whole board test results, the same model of different treatment equipment spacing changes can be normally mixed test |
Remote Control | The same equipment can remotely operate multiple equipment in different workshops or different production lines |
Alternative material added | Add a subtemplate and add substitutes |
Barcode identification | Support for mainstream barcode recognition |
NG board stop line function | Support assembly line start-stop control, software control, no running lights, and customers can freely specify the stop board position of bad products |
Multi-station display | Support for multistation display |
Voice broadcast | Support multistation and custom voice broadcast content |
Communication mode | Support for standard interface and customized interface |
Remote debugging / offline programming | Support customer offline programming, customer remote control, remote debugging |
Displays of bad products | Listen, defective sound prompt; Look, defective floating chart; Focus, red frame for defective products |
Parameters |
|
Type | Floor Type |
Inspection Method | Convolutional neural network, advanced deep learning models, computer vision, graphics and image processing |
Program Editing | Within 15 minutes |
Program Debugging Time | Within 15 minutes |
Minimum Measurable Component | L*W 25*5mm |
Detection Speed | 5s/FOV |
Minimum Size of Measurable Circuit Board | L*W 50*50mm |
Maximum Size of Measurable Circuit Board | Width: 400mm, Length: no limited Width: 750mm，Length: no limited (Optional) |
Camera Resolution | 2000W or 1200W color According to different environments |
Pixel Size | 2.4um （2000W color）；3.45um（1200W color） |
Install Method | Floor type embedded production line installation, no need to change the assembly line, fast and convenient |
Equipment Accuracy | 2000W，Distance: 300mm，Accuracy: 66um |
System |
|
Operating System | Ubuntu 19.2 LTS 64bit |
Control System | Host computer control |
Configuration | CPU: Intel i5 9 generation GPU Graphics Memory：6G or 8G Memory / storage：16G DDR4/2T |
Appearance |
|
Voltage | AC220+10% |
Power consumption | MAX560W |
Temperature / Humidity | Working Temperature 0-45℃ 20%–80%RH No condensation |
Weight | 130KG (Different configurations vary slightly) |
Appearance Size | L*W*H 702*661*1440mm (Note: The above length does not include the 566mm display, and the expansion distance of the display support is 320mm- -650mm) |
Dimension
