Anhui Keye Information & Technology Co., Ltd.
Anhui Keye Information & Technology Co., Ltd.
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The high-precision rice quality inspection machine developed and produced by our company can be used in rice processing plants, rice storage, laboratories, and quality inspection centers. It can detect and analyze the sprouting grains, heterogeneous sprouting grains, grass seeds, chalky grains, worm-eaten grains, gibberellin grains, broken grains, black germs, impurities, etc., and generate statistical reports from time to time to improve product safety and traceability, and at the same time can guide the improvement of rice quality.
Equipment advantages&details
Using the KEYE Rice Appearance Quality Tester, each analysis image, distribution map and result data can be saved, and the analysis results can be output to an Excel sheet. The measurement error of the length and width of the equipment is ≤±0.05mm, the error of the whole rice rate is ≤±1.0%, and the precision is high; and the system can manually delete abnormal rice, the data can be automatically updated, and the inspection is more accurate, which can be used for the quality inspection of imported rice In the evaluation, control the rice quality.
| Model.No | KVS-GR | Inspect speed | 500-900/min |
| Size | 800*600*600mm | Weight | 110kg |
| Voltage | 220V±10%,50Hz | Current | 500-1000W |
| Ambient temperature | 10~30℃ | Environment humidity | Relative temperature≤85% |
Key technology
1. Automatic binarization: Use deep neural network to segment the foreground and background of the image. Compared with the traditional binarization method, it can be applied to a variety of lighting conditions, and the edge segmentation of rice is smoother, fast and robust High advantages.
2. Adhesive rice segmentation algorithm: The method based on connected domains cannot segment the adhered rice. The deep neural network is used to segment the adhered rice at an instance level, which can reach a speed of 1000fps and can process the adhered rice in real time.
3. Rice attribute recognition algorithm: adopts a lightweight neural network and integrates a semi-supervised learning method. The model can be iteratively optimized only by marking a small amount of data. It has the advantages of high accuracy, fast speed, and convenient deployment.
After-sale service
The company has a complete technical service team and rapid response mechanism, and has dedicated service specialists for each customer, who can receive technical consultation and fault reports from customers at any time. And to ensure rapid response to customer emergencies, to ensure that customers receive satisfactory service.During the epidemic or due to special reasons, when after-sales engineers are unable to reach the site, the service center can remotely adjust customer equipment for troubleshooting and technical consultation.
After the equipment arrives at the customer site, the after-sales engineer arrives in time to carry out equipment installation, commissioning, and operation training. The product quality of the whole machine is traceable, and the quality warranty period is 1 year from the date of acceptance. In the event of non-human faults during the warranty period, after-sales engineers will quickly arrive at the site or provide remote guidance for free maintenance.