Place of Origin: | China |
Brand Name: | KEYE |
Certification: | No |
Model Number: | KVIS-GR |
Minimum Order Quantity: | 1 SET |
---|---|
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 |
Condition: | New | Test Report: | Provided |
---|---|---|---|
Weight: | 110kg | After-sale: | Remote Service |
Key Technology: | AI Algorithm | Speed: | 900-1200pcs/min |
Product Type: | Analyzer | Function: | Grain Quality Inspection |
OEM: | Yes | Payment: | Paypal,T/T,L/C,Credit Card,etc. |
High Light: | 1000fps Rice Quality Analyzer,Rice Quality Analyzer Instruments,1000fps food analysis laboratory instruments |
The laboratory rice special quality analyzer developed and produced by our company. This machine can replace manual work and can work 7*24 hours. It can detect the quality of rice with high precision. , Chalky grains, insect-eaten grains, Gibberellin grains, damaged grains, black germ grains, impurities, etc. are tested and analyzed, and statistical reports are formed from time to time to improve product safety and traceability. The contact parts between the equipment and the sample are made of medical-grade materials, which are safe and hygienic, with intelligent design, simple operation and convenient maintenance.
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 rice edge segmentation is smoother, fast and robust The advantage of high sex.
2. Adhesive rice segmentation algorithm: The connected domain-based method cannot segment the adhered rice. The deep neural network is used to perform instance-level segmentation of the adhered rice, which can reach a speed of 1000fps and can process the adhered rice in real time.
The sample picture is as follows:
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 annotating a small amount of data. It has the advantages of high accuracy, fast speed, and convenient deployment.
The analyzer combines traditional machine vision methods and artificial intelligence algorithms to analyze rice. First, traditional vision methods are used to segment the rice grains in the video frame, and then artificial intelligence algorithms are used to identify the attributes of the segmented rice grains. Determine whether there are moth-eaten, sprouting, moldy and other problems. At the same time, two high-resolution cameras were used to photograph the front and back of the rice, and the attributes of the two surfaces 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.
Equipment configurations
Model.No | KVS-GR | Inspect speed | 900-1200/min |
Size | 800*600*600mm | Weight | 110kg |
Voltage | 220V±10%,50Hz | Current | 500-1000W |
Ambient temperature | 10~30℃ | Environment humidity | Relative temperature≤85% |
After-sale serviceThe 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