Basmati Grain Quality Analyzer Food Checking Machine with Industrial Camera

Product Specification

The basmati rice quality inspector for processing plant developed and produced by our company is connected to the basmati rice processing production line, and is connected to the basmati rice lifting and conveying pipeline, and the basmati is extracted from the conveying pipeline at regular intervals. Rice, analyze the quality of basmati rice, which can analyze the budding grains, heterogeneous buds, grass seeds, worm-eaten grains, gibberellin grains, damaged grains, black germs, impurities, etc. of basmati rice Conduct testing and analysis, guide the improvement of the quality of Basmati rice, and form statistical reports from time to time to improve product safety and traceability.

Combine traditional machine vision methods and artificial intelligence algorithms to analyze basmati rice. First, use traditional visual methods to segment the basmati rice grains in the video frame, and then use artificial intelligence algorithms to segment the basmati rice. Marty rice grains carry out attribute identification to determine whether there are insect-eaten, sprouting, moldy and other problems. At the same time, two high-resolution cameras were used to photograph the front and back of basmati rice, and the properties of the two sides were analyzed. Through the registration algorithm, the front and back basmati rice are registered one by one, and their respective attributes are combined to obtain the attributes of a complete basmati rice grain.

Inspection principle

Manual sampling, inspection, recording, and statistics have disadvantages such as slow speed, low accuracy, high missed and false positive rates, and long-term fatigue. This machine can replace manual work, can work 7*24 hours, detect the quality of rice with high precision, detect broken rice, chalky rice, imperfect rice, and moisture in the rice in time, and find whether there are mildew, worms, impurities and other problems. It can be used for daily sampling inspection before and after rice production.

The rice quality detector can be connected to upstream and downstream production equipment according to the specific production needs of customers on site. The parts in contact with the equipment and samples are made of medical-grade materials. It is safe and hygienic, with intelligent design, simple operation and convenient maintenance.

Testing system display:

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 basmati rice is smoother and faster And the advantage of high robustness.

2. Adhesive Basmati rice segmentation algorithm: Connected basmati rice cannot be segmented by the method based on connected domains. The deep neural network is used to segment the adhered basmati rice at an instance level, which can reach a speed of 1000fps. It can process the sticky basmati rice in real time.

3. Basmati 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, high speed, and easy deployment. 

Equipment configurations

The equipment uses the latest AI vision detection technology and is equipped with 3 high-resolution cameras to analyze the attributes of the front and back sides of glutinous rice. Through the registration algorithm, the front and back sides of the glutinous rice are registered one by one, and their respective attributes are combined to obtain a synthesis. The properties of a whole piece of glutinous rice; use deep neural network to segment the sticky glutinous rice at instance level to easily deal with the sticking situation of glutinous rice; at the same time, open the cloud platform to remotely train samples of different customers to meet customer customized classification standards.

This machine replaces manual work, can work 7*24 hours, detect the quality of glutinous rice with high precision, detect broken rice, chalky grains, imperfect grains, and moisture in the glutinous rice in time, and find whether there are mildew, worms, impurities and other problems. It can be used for daily sampling inspection before and after glutinous rice production.

The glutinous rice quality detector can be connected to upstream and downstream production equipment according to the specific production needs of customers on site. The parts in contact with the equipment and samples are made of medical-grade materials, which are safe and hygienic, intelligent in design, simple to operate, and convenient to maintain.