Intelligent Automatic Coarse Grain Color Sorter
Description:
Recognition is the housekeeping skill of the color sorter. To achieve real unimaginable recognition, the camera is the key, and the technology can not be left behind.
Original multi spectral confocal technology, 260 million pixels + ring curve self-healing lens, higher material identification accuracy, and nowhere to hide malignant impurities such as glass and desiccant.
The combination of color selection and shape selection, color selection identifies material differences, distinguishes good from bad, shape selection determines the center of gravity position of materials, and implements center targeted positioning and elimination, so as to completely bring out small, and the color selection accuracy is infinitely close to the limit minimum value.
The simultaneous interpreting technology is more effective and has higher integration level, faster computing speed, stronger processing power and intelligent control. Say goodbye to disease / mildew forever.
The patented air flow dust suction has more reasonable structure and stronger suction, and reduces the inconvenience and use cost caused by the installation of multiple dust removal interfaces.
More original intelligent ash cleaning 2.0 system, through inductive real-time ash cleaning, reduces the inconvenience caused by fixed time ash cleaning, greatly improves the existing output and production efficiency.
The original color selection assistant can view the video stream in real time, count the output and impurities, and effectively monitor the output and quality of the production line.
Adaptive simplified UI, minimalist interface and simpler operation. According to user habits, it integrates functional interfaces such as output setting, scheme setting and ash cleaning setting.
Parameters:
| model |
m320 |
| throughput |
4-7t/h |
| power |
3.2kw |
| voltage |
220v/50hz |
| sorting accuracy |
≥99.9% |
| weight |
1040kg |
Product Tags:
|
|
ISO9000 3.2kw Coarse Grain Color Sorter With Adaptive Simplified UI Images
|
