Image Processing Long Lifetime Kidney Beans Mung Beans Color Sorter
Product Superiority:
1. Independently developed image deeply learning algorithm system + multi-spectral sorting
technology.
2. Original high-frequency and high-sensitivity solenoid valve + adaptive rejection technology.
3. Big data + cloud interconnection, realizing 24-hour online support by engineers.
4. The fifth-generation FPGA chip, super computing, realizing ultra-high-speed real-time computing
of massive data.
5. Anti-fragmentation, targeted positioning, flexible removal, soft touch module, protect materials.
6. Parallel processing, the synchronization recognition algorithm of color selection, shape
selection, quality selection , higher accuracy and wider recognition range .
Technical Parameters:
| Model | Capacity (t/h) |
Optimized Carryover (bad:good) |
Sorting Accuracy (%) |
Power (Kw) |
Voltage (V/Hz) |
Dimension L×W×H(mm) |
Weight (kg) |
| XCS80 | 0.8-2.0 | >20:1 | >99.9 | 0.5-0.8 | 220/50 | 967*1553*1784 | 286 |
| CVG-5 | 1.0-2.5 | >20:1 | >99.9 | 3.3 | 220/50 | 2617*2077*1795 | 1532 |
| CVG-6 | 1.2-3.0 | >20:1 | >99.9 | 4.2 | 220/50 | 2955*2077*1795 | 1752 |
| CVG-7 | 1.4-3.5 | >20:1 | >99.9 | 5.0 | 220/50 | 3293*2077*1795 | 1910 |
| CVG-8 | 1.6-4.0 | >20:1 | >99.9 | 6.0 | 220/50 | 3641*2077*1795 | 2170 |
| CVG-10 | 2.0-5.0 | >20:1 | >99.9 | 7.05 | 220/50 | 4317*2077*1795 | 2520 |
| CVG-12 | 2.4-6.0 | >20:1 | >99.9 | 8.3 | 220/50 | 4993*2077*1795 | 2960 |
Note: Due to different raw materials and different impurities ratio , parameters above
will vary to some extent ,which are references for you choosing a suitable model.
Working Schematic :
From the schematic ,we can learn that when the materials enter the chute ,the sensor will recognize the shape and color of materials, if there are some specked ,splitted ,rotten and other defects,the ejector system will release compressed air to change the path of rejected materials with defects into rejected hole . The accepted materials will come out from the accepted hole .
Sorting Case :
