| Brand Name: | WELLMAN |
| Model Number: | IL-1000 |
| Payment Terms: | T/T |
| X-ray Source | Type | Microfocus, closed |
|---|---|---|
| Tube Voltage | 80kV | |
| Tube Current | 700μA | |
| Focal Spot Size | 30μm | |
| Flat Panel Detector | Type | Super definition digital FPD |
| Effective Area | 430mm*430mm | |
| Pixel Size | 139μm | |
| Resolution | 3072*3072 | |
| Reel/Tray Counting | Max Size | Auto mode 15" (380mm), manual mode 17" (430mm) |
| Max Thickness | Auto mode 50mm, Manual mode 80mm | |
| Min Parts Size | 01005 | |
| Speed | 12-15s | |
| Accuracy | 01005 ≥ 99.98%, 0201 & above ≥ 99.99% | |
| Media Type | Reel materials, tray materials with moisture-proof bag | |
| Equipment | Dimensions | 2700mm (L) * 1400mm (W) * 1900mm (H) |
| Weight | 3000kg | |
| Power Supply | AC110-220V 50/60HZ | |
| Max Power | 4800W | |
| Industrial PC | I7 CPU, 16G RAM, 256G SSD+4T HDD | |
| Display | 24" HDMI LCD | |
| Management System Connection | MES, ERP, etc. | |
After the reel vehicle is pushed in, the manipulator automatically loads, supporting 7 to 15 inches of reel
200 reels (7" with 8mm thickness)
Can scan barcode, QR code
Automatic belt transfer
Automatically print and paste labels after counting, and upload data automatically
The manipulator automatically put into the reel vehicle
No leakage, international standard: ≤1μSv/h
Once users open the back door, X-ray tube will power off immediately. When the back door is open, users can't turn on the X-ray
In front of the operation position, press to power off
| Reel Size | Parts Size | Quantity | Accuracy | Speed |
|---|---|---|---|---|
| 7" (180mm) | 01005 | 40000 | 99.98% | 14-15s |
| 7" (180mm) | 0201 | 10000 | 99.99% | 13-15s |
| 7" (180mm) | 0402 | 10000 | 99.99% | 13-15s |
| 10" (254mm) | 1206 | 5000 | 99.99% | 12-15s |
| 15" (380mm) | 1206 | 10000 | 99.99% | 12-15s |
Our counting software uses a powerful artificial intelligence deep learning algorithm. No need to bind components to algorithm, we use AI to automatically identify components and automatically apply algorithm. The algorithm can learn the counted component data, such as:
As the number of components counting increases, the results become more and more accurate. When we need to count similar components, or larger trays, we can easily handle it.