Product Details
Advantage
1、Convenient Human-Computer Interaction
- Engineer: Drag and drop, shortcut key, input as little as possible.
- Operator: shortcut key, mouse operation as little as possible.
2、Perfect SPC system
- The feature-rich SPC system supports multi-dimensional statistical analysis of test data.
- Support the export of multiple data formats to meet the daily reporting needs of the factory.
3、Full-chain data traceability
- Whole board image, complete retention of the detection results.
- It can be traced through barcode and 100% reproduce the detection status at that time.
4、Cloud Edge Integration
- Mature cloud edge integration solution, can help factories realize multi-factory equipment interconnection, data exchange, real-time remote tracking of production status, reduce operation and maintenance costs, andimprove management efficiency.
Line Position
AI algorithm, Minimalist programming
Combining the successful experience of image defect detection and classification in the extensive semiconductor industry, the Zhonghui model, a deep learning neural network, can effectively handle the morphological changes of solder points. This is achieved through training massive PCBA defect data, making it compatible with Pre-wave soldering inspection machines and AOI machines before soldering.
It can automatically identify devices / solder positions and defect types and solve the problems of complex traditional AOI operation, long debugging time, high miscalculation, and poor consistency of personnel operation.
High detection, Low misjudgment
Self-developed in-depth learning training platform can regularly collect production line production data, so that AI model can continuously learn incrementally.
The equipment can always maintain high detection and low misjudgment, and ensure the continuous normal production of the factory.
Refined defect classification
The leading in-depth learning target detection model can solve the problem of only OK/NG rough classification in traditional algorithms by accurately locating defect locations and accurately classifying defects.
Achieve the effect of very little manual re-judgment and help the factory to save manpower.
Technical Parameters
| Alpha Z400U |
| Provide real-time and practical statistical analysis data, and provide various statistical analysis maps (ID error frequency, name error frequency, pass-through rate, etc.) |
| Provide real-time and practical statistical analysis data, and provide various statistical analysis maps (ID error frequency, name error frequency, pass-through rate, etc.) |
| Support 6 equipment models at the same time going through the workline, program automatic call |
| Real-time output of the whole board test results, the same model of different treatment equipment spacing changes can be normally mixed test |
| The same equipment can remotely operate multiple equipment in different workshops or different production lines |
| Add a subtemplate and add substitutes |
| Support for mainstream barcode recognition |
| Support assembly line start-stop control, software control, no running lights, and customers can freely specify the stop board position of bad products |
| Support for multistation display |
| Support multistation and custom voice broadcast content |
| Support for standard interface and customized interface |
| Support customer offline programming, customer remote control, remote debugging |
| Listen, defective sound prompt;Look, defective floating chart; Focus, red frame for defective products |
| Floor Type |
| Convolutional neural network, advanced deep learning models, computer vision, graphics and image processing |
| Within 15 minutes for new machine |
| Within 15 minutes |
| L*W：25.0mm*5.0mm |
| 5s/FOV |
| L*W：>50mm*50mm |
| Width: 400mm, Length: no limited Width: 750mm，Length: no limited |
| 2000W or 1200W color According to different environments |
| 2.4um(2000W Color),3.45um(1200W Color) |
| Floor type embedded production line installation, no need to change the assembly line, fast and convenient |
| Usually the object distance is 300mm and the accuracy is 66um |
| 200V-230V AC 50/60Hz |
| 600W |
| Working Temperature 0-45℃ 20%–80%RH No condensation |
| 130Kg (Different configurations vary slightly) |
| L*W*H=710mm*670mm*1450mm (Note: The above length does not include the 580mm display, and the expansion distance of the display support is 320mm- -650mm) |
Use Scenario
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