Anhui Keye Information & Technology Co., Ltd.
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| Place of Origin: | China |
| Brand Name: | KEYE |
| Certification: | No |
| Model Number: | KVIS-AR |
| Minimum Order Quantity: | 1 SET |
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| Price: | Negotiable |
| Packaging Details: | Fumigation-free wood |
| Delivery Time: | 4 to 6 weeks |
| Payment Terms: | L/C, T/T |
| Supply Ability: | 1 set per 4 weeks |
| Features: | Easy To Operate | Name: | Factory QC Grain Analyzer Equipment |
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| Warranty: | 1 Year | Size: | 80*60*60cm |
| Material: | Stainless 304 Food Grade | Test Report: | Provided |
| Ket Technology: | AI Algorithm | After-sale: | Remote Service |
| OEM: | Yes | Packing: | Wood |
| Highlight: | Defect Rice Quality Analyzer,3d Rice Quality Analyzer,Aoi surface inspection equipment |
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Inspection principle
The high-precision rice defect analyzer 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 Performance and traceability, and at the same time can guide the improvement of rice quality.
Combine traditional machine vision methods and artificial intelligence algorithms to analyze rice. First, use traditional vision methods to segment the rice grains in the video frame, and then use artificial intelligence algorithms to identify the attributes of the segmented rice grains to determine whether there are insects. Moth, sprouting, mildew and other problems. At the same time, two high-resolution cameras were used to photograph the front and back of the rice, and the properties of the two sides were analyzed. Through the registration algorithm, the front and back of the rice are registered one by one, and their respective attributes are combined to obtain the attributes of a complete rice grain
System configurations&features
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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.
Contact Person: Ms. Amy Zheng
Tel: +86 17355154206/+86 186 5518 0887
