SMT Component X Ray Counter Cloud Algorithm Updates 17 Inch Reel Compatibility
Wellman X-Ray Reel Counter XC-01 - Advanced X-ray counting system with AI-powered component recognition for high-speed, accurate parts counting of 01005 components and larger.
- 80kV closed-type X-ray tube: Extended lifespan and maintenance-free operation
- 17" Super definition digital flat panel detector (FPD) enabling precise imaging
- Ultrafast counting: Processes four 7" reels or one 15" (380mm) reel in less than 10 seconds
- Supports reels/trays up to 17" (430mm), including those with moisture barrier bags
- AI deep learning algorithm featuring permanently free updates
- Simultaneous automatic code scanning counting and label printing capabilities
- No mode switching required for single or multi-reel counting
- Work order number function combined with counting record query and statistics
| Type | Integrated, microfocus |
|---|---|
| Max tube voltage | 80kV |
| Max tube current | 700μA |
| Focal spot size | 30μm |
| Type | Super definition digital FPD |
|---|---|
| Effective area | 430mm * 430mm |
| Pixel size | 139μm |
| Resolution | 3072 * 3072 |
| Max size | 17" (430mm) |
|---|---|
| Max thickness | 88mm |
| Min parts size | 01005 |
| Speed | 7-10s |
| Accuracy | 01005 ≥ 99.98%, 0201 & above ≥ 99.99% |
| Reel Size | Parts Size | Quantity | Accuracy | Speed |
|---|---|---|---|---|
| 7" (180mm) | 01005 | 40000 | 99.98% | 9-10s |
| 7" (180mm) | 0201 | 20000 | 99.99% | 8-9s |
| 7" (180mm) | 0402 | 10000 | 99.99% | 7-8s |
| 7" (180mm) | 0603 | 5000 | 99.99% | 7-8s |
| 10" (254mm) | 1206 | 5000 | 99.99% | 7-8s |
| 15" (380mm) | 1206 | 10000 | 99.99% | 7-8s |
Our counting software leverages advanced AI deep learning algorithms, enabling automatic component identification without the need for manual binding. The system keeps improving continuously by learning from component data such as:
- Aspect ratio analysis
- Image deformation patterns
- Corner angle measurements
- Component slope gradients
Every Wellman X-ray counter connects to our cloud database, automatically uploading counting data and images. Our engineers continuously optimize algorithms based on collected data, with regular updates pushed to all connected systems.
This continuous improvement cycle ensures counting accuracy approaches 100% over time while expanding component type coverage.
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