High accuracy
The deep learning detection algorithm customized for theindustry, the detection of small appearance defects andother difficulties in the industry using mechanized fliptechnology, to achieve the appearance and size detection ofthe top and bottom.
Easy to operate
Intelligent and digital display, Software modular connectionoperation, visual display, easy to operate Ul interactiveinterface,Very few parameters set, easy to operate.
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| Equipment technical parameters table | |
|---|---|
| Equipment type | UGO-FB-4 |
| Detecting job type | O-ring, flat gasket, rectangular ring, bearing seal, oil seal and other rubber products |
| Detection size range | Outer diameter 5-65mm, thickness 1.0mm-6.0mm |
| Inspect appearance items | Burr, raw edge, flow mark, lack of material, sticky skin, pitting, crack, fracture, mold dirty, pits, impurities, etc |
| Detection size project | Inside diameter, outside diameter, wire diameter, thickness |
| Detection speed | 120-1000pcs/min(Depending on product specifications or Number of cameras) |
| Detection accuracy | Repeatability士0.01mm |
| Software system | Independent R&D |
| Camera module | 3-9 cameras, support the number of custom camera selection |
| Lens | Custom Lens |
| Industrial computer | Industrial grade computer |
| Loading mechanism | The climbing machine feeds automatically |
| Discharge opening | 5个Discharge opening(OK port, dimension NG port, plane NG port, NG port, uncertain port) |
| General technical parameter table | |
|---|---|
| communication | Network port (OPC/WebAPI, TCP/IP, SQLServer) |
| Voltage | 220V/50Hz |
| Atmospheric pressure | 0.5-0.8Mpa |
| Equipment size | 3850mm*2065mm*2000mm |
