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Full-Text Articles in Life Sciences
An Online Visual Detection And Identification Method For The Defective Of Qinqinchang, Dang Guo-Hui, Wang Yong-Qiang, Zhou Cong-Ling
An Online Visual Detection And Identification Method For The Defective Of Qinqinchang, Dang Guo-Hui, Wang Yong-Qiang, Zhou Cong-Ling
Food and Machinery
Objective: This study aimed to study the automatic detection method of common appearance defects in the production process of Qinqinchang. Methods: CMOS camera was used to obtain the image information of the product online, and image processing technology was used to extract the appearance defect features of the product and analyze the types of defects. Results: The accuracy rate of the online detection method for the common appearance defects of kissing intestines was 97.2%. Conclusion: The method is simple and has broad application prospect.
Online Detection And Grading System For Citrus Full-Surface Color, Li Lang, Wen Tao, Dai Xing-Yong, Wang Zhi-Yu
Online Detection And Grading System For Citrus Full-Surface Color, Li Lang, Wen Tao, Dai Xing-Yong, Wang Zhi-Yu
Food and Machinery
Objective: This study aimed to realize the fast and accurate sorting of citrus color. Methods: An online color detection and grading system of citrus based on machine vision was designed in this study. The system is composed of feeding unit, chain conveying mechanism, image acquisition system and fruit dividing unit. The industrial camera which was combined with the rolling mechanism was used to uniformly capture 50~60 frames of images for obtaining the complete surface information of citrus. The non-destructive testing software preprocessed each frame of images acquired in real time to obtain the two-dimensional coloring ratio, which is …
Research On Mill Distance Monitoring System Based On Machine Vision, Lu Shao-Jie, Wu Wen-Bin, Zhang Wen-Long, Hou Ning-Pei, Liu Pei-Kang, Zhao Qi-Feng
Research On Mill Distance Monitoring System Based On Machine Vision, Lu Shao-Jie, Wu Wen-Bin, Zhang Wen-Long, Hou Ning-Pei, Liu Pei-Kang, Zhao Qi-Feng
Food and Machinery
Objective: Real-time monitoring of the grinding roller distance of the pulverizer. Methods: CCD industrial camera was used to collect the rolling distance image, threshold segmentation and morphology were used to preprocess the gray image, and then the edge detection algorithm combined with MATLAB software and mathematical operation were used to eliminate the irrelevant edge points, and finally the rolling distance of the mill was calculated. The feasibility and veracity of the system were verified by comparing the value of gauge and the value of system monitoring. Results: The data fluctuation range of the online monitoring system was …
Online Visual Detection Method Of Defective Baoyu-Flavor-Slices Based On Mechanical Vision, Xiang Yu-Hang, Zhou Cong-Ling, Wang Yong-Qiang
Online Visual Detection Method Of Defective Baoyu-Flavor-Slices Based On Mechanical Vision, Xiang Yu-Hang, Zhou Cong-Ling, Wang Yong-Qiang
Food and Machinery
Objective: To solve the problem of appearance defects of Baoyu-flavor-slices, such as edge damage, internal porosity and uneven wrapper thickness in the production process. Methods: An on-line detection method based on machine vision was proposed. The Baoyu-Flavor-Slices were arranged into a single layer array by mechanical carding device. After image acquisition, image segmentation, gray value stretching and contour edge extraction were selected for image processing. Edge damage detection was completed by using the feature of outer contour roundness, abnormal wrapper thickness detection was accomplished by measuring wrapper thickness, by calculating the porosity area, the porosity detection was completed. …
Tomato Weight Prediction Based On Image Processing, He Ting-Ting, Li Zhi-Wei, Zhang Xin, Zhang Zhong-Li-Li, Xiao Xue-Peng, Dong Jing
Tomato Weight Prediction Based On Image Processing, He Ting-Ting, Li Zhi-Wei, Zhang Xin, Zhang Zhong-Li-Li, Xiao Xue-Peng, Dong Jing
Food and Machinery
Objective：A tomato weight detection method based on image processing was established to realize non-contact tomato weight detection. Methods：The binary image of tomato was obtained through image processing. The geometric features of tomato were extracted by pixel statistics and minimum circumscribed rectangle method, and correlation analysis was made between the characteristics and the real value of tomato weight, then the regression model of tomato weight detection with geometric features as parameters was established. Results：Compared with the real size of tomato, the measurement error of transverse and longitudinal diameter of Tomato by minimum external rectangle method was less than …
Design Of On-Line Nondestructive Rapid Detection System For Tilapia Descaling Rate Based On Machine Vision, Li Pengpeng, Li Yule, Zeng Fanyi, Liu Yang, Zhang Xu, Wang Huihui
Design Of On-Line Nondestructive Rapid Detection System For Tilapia Descaling Rate Based On Machine Vision, Li Pengpeng, Li Yule, Zeng Fanyi, Liu Yang, Zhang Xu, Wang Huihui
Food and Machinery
Objective:Improve the quality and efficiency of tilapia processing and increase the added value of products.Methods:For the fluorescence response difference of fish scales and fish skin under ultraviolet excitation, a rapid detection system for tilapia descaling rate based on machine vision technology was constructed. After image pre-processing, background segmentation, ROI region selection, and rapid identification of discaled areas, the scaled and descaled area images were obtained. Then the scaling rate was calculated and the detection accuracy of the system was tested. Results:The accuracy of the system scaling rate detection ranged from 90.18% to 94.14%.Conclusion:The automatic …
Design And Implementation Of Self-Adaptive Head Cutting Machine For Catfish, Li Chen-Yang, Shan Hui-Yong, Zhang Cheng-Hao, Tian Yun-Chen, Wei Yong
Design And Implementation Of Self-Adaptive Head Cutting Machine For Catfish, Li Chen-Yang, Shan Hui-Yong, Zhang Cheng-Hao, Tian Yun-Chen, Wei Yong
Food and Machinery
Objective: In order to improve the mechanization and automation level of catfish head cutting. Methods: Through the study on the shape parameters and friction characteristics of catfish, the related parameters of catfish were obtained. Based on the machine vision technology to identify the assembly line fish, the end of the fish skull was defined as the fish head cutting track line, and an adaptive adjustment device was designed to adjust the position of the fish body, so that the disc cutter can avoid the skull for head removal. The GUI was designed in order to achieve visual control. …
Design Of Thermal Defect Detection System For Food Storage Room Based On Robotic Arm, Ma Zhi-Yan, Li Ao-Xiang, Duan Yu-Fei, Li Jiang-Hua
Design Of Thermal Defect Detection System For Food Storage Room Based On Robotic Arm, Ma Zhi-Yan, Li Ao-Xiang, Duan Yu-Fei, Li Jiang-Hua
Food and Machinery
Objective:To improve the defect detection efficiency of the enclosure structure of food storage devices.Methods:A robotic arm inspection trolley based on host computer control was proposed. The acquisition path was planned according to the area of the enclosure structure. The improved Ostu image segmentation method was used to analyze the acquired thermal infrared images and output the "defect" parts. Size and position coordinates, and finally verify the effectiveness of the detection through the defect detection rate and false detection rate.Results: The detection mechanism can completely scan and collect thermal infrared images of the enclosure structure of food …
Design And Implementation Of Small Color Recognition System For Beverage Bottle Caps, Deng San-Xing, Sun Sai-Wei, Yang Meng-Meng, Zhang Kai, Li Shuai
Design And Implementation Of Small Color Recognition System For Beverage Bottle Caps, Deng San-Xing, Sun Sai-Wei, Yang Meng-Meng, Zhang Kai, Li Shuai
Food and Machinery
Objective:This study focus on solving the problems that the current beverage bottle cap detection system has simple functions, large volume and low color recognition rate.Methods:A design scheme of small beverage bottle cap color recognition system based on ARM processor was proposed. By using the LineSim tool of the simulation software HyperLynx, a four-layer PCB board was designed and impedance matching simulation analysis was obtained after setting transmission line parameters. Through using the compilation software Jupyter Notebook to achieve threshold setting, target contour detection, target frame out and other functions.Results:Under bright and low light conditions, the …
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Research On Tomato Maturity Detection Method Based On Machine Vision And Electronic Nose Fusion, Wang Jun-Ping, Xu Gang
Food and Machinery
Objective:To explore the application ability of machine vision and electronic nose fusion method in fruit and vegetable maturity detection, and realize the detection of different maturity of tomato.Methods:Based on machine vision and electronic nose acquisition system, a tomato maturity detection method based on multi-source information fusion was proposed. Based on 6 color features screened by machine vision and 10 odor features screened by electronic nose, the least squares support vector machine model for tomato maturity detection was established. The feasibility of this method is verified by comparing the fusion method with single method.Results:Compared with the …
Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie
Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie
Food and Machinery
Objective:A BP neural network model was established to accurately determine the maturity of dough fermentation.Methods:Used machine vision technology to collect and process the pictures of bread fermentation process, obtained the quantitative information of the pictures, and a prediction model was established for bread fermentation degree based on BP neural network. Taking the time, area, instantaneous velocity, expansion rate, gray value energy, gray value relationship, gray value uniformity and gray value contrast as the input neurons, the regression model of relevant parameters was established.Results:The correlation between the above characteristic parameters and the fermentation process of bread …
Intelligent Sorting Equipment And System Design Of Seafood, Jin Zong-Yi, Tao Xue-Heng, Jin Yan, Feng Yi-Ran, Wang Hui-Hui, Zhang Xu
Intelligent Sorting Equipment And System Design Of Seafood, Jin Zong-Yi, Tao Xue-Heng, Jin Yan, Feng Yi-Ran, Wang Hui-Hui, Zhang Xu
Food and Machinery
Objective:Aiming at the present situation of low efficiency, low accuracy and high cost in the sorting and processing of fishery industry in China, the intelligent sorting equipment and system of seafood based on robot was developed.Methods:Using the combination of intelligent robot and traditional machinery to develop a new mechanical structure to classify seafood, an intelligent recognition technology based on machine vision was used to classify seafood (the improved novel Faster R-CNN algorithm was adopted for seafood), and an equipment system that could automatically sort seafood intelligently, efficiently was constructed.Results:The improved novel Faster R-CNN algorithm has …