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Full-Text Articles in Food Science
Fast Recognition Method For Betel Nut In Dense Environments Based On Improved Yolo, Dai Yun, Lu Ming, He Ting, Peng Cheng-Wu
Fast Recognition Method For Betel Nut In Dense Environments Based On Improved Yolo, Dai Yun, Lu Ming, He Ting, Peng Cheng-Wu
Food and Machinery
Objective: This paper aimed to improve the accuracy of identification of small individual betel nuts and the degree of automation of betel nut processing plant by combining with deep learning. Methods: In this study, a novel feature extraction network named Mob-darknet-52 was proposed to construct a method of betel nut location and recognition based on improved YOLO algorithm by using multi-scale detection size. Results: the test showed that the proposed method had a detection accuracy of 94.8%, an accuracy rate of 94.5%, a recall rate of 95.1%, and a detection time of 6.679 ms in betel nut classification. Conclusion: The …
Light Weight Detection Of Mango Surface Defects Based On Machine Vision, Nie Yan-Wen, Yang Jia-Chen, Wen Hui-Xin, Gao Lu, Xu Jian
Light Weight Detection Of Mango Surface Defects Based On Machine Vision, Nie Yan-Wen, Yang Jia-Chen, Wen Hui-Xin, Gao Lu, Xu Jian
Food and Machinery
Objective: Reduce the manufacturing cost of automated mango grading equipment. Methods: The effects of three commonly detection algorithms for mango defect detection were compared, and a defect detection algorithm based on YOLOv5 for mango surface was proposed for the light weight design to work on mobile devices. Results: Compared with the original algorithm, the experimental algorithm can reduce the number of parameters by 45.9%, the number of floating point operations by 46.7%, and the weight file size by 45.2% under the premise of meeting the requirements for mango surface defect detection. Conclusion: the experimental algorithm effectively reduces the performance requirements …
Research Status And Prospect Of Pretreatment Equipment And Technology For Freshwater Fish, Chen Lang, Wu Wen-Jin, Chen Sheng, Shi Liu, Guo Xiao-Jia, Wang Lan
Research Status And Prospect Of Pretreatment Equipment And Technology For Freshwater Fish, Chen Lang, Wu Wen-Jin, Chen Sheng, Shi Liu, Guo Xiao-Jia, Wang Lan
Food and Machinery
The current situation of the development of freshwater fish pretreatment processing industry and development level of freshwater fish pretreatment equipment were briefly described in this manuscript. The development history of mechanical for freshwater fish pretreatment was reviewed. Based on the processing technology of freshwater fish, combining the processing needs of different freshwater fish and freshwater fish products, the main structure composition form and operation mode of existing freshwater fish pretreatment was summarized. The current cutting-edge technology of existing visual recognition and automatic monitoring practical applications in domestic and foreign were included. The research direction combined with China's national conditions of …
Research On Pre-Packaged Food Detection Based On Machine Vision, Wen-Xiu Li, Qiu-Ping Luan
Research On Pre-Packaged Food Detection Based On Machine Vision, Wen-Xiu Li, Qiu-Ping Luan
Food and Machinery
In order to improve the detection accuracy of pre-packaged food, a defect detection system based on machine vision was designed. The detection system mainly includes image acquisition module, image processing and analysis module, output execution module and so on. The image processing method was described in detail. The image denoising model based on partial differential equation was used. The defect region was segmented by double threshold segmentation method. Finally, BP neural network was used to classify defects according to circumference, area and roundness. The feasibility and effectiveness of the method ware verified by experiments. The experimental results show that the …
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 …
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 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. …
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 …
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 …
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 …
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 …
Prediction Method Of Banana Pulp Defect By Machine Vision, Zhang Zheng, Xiong Sheng-Hui, Wang Sun-Qiang, Hu Ling-Hui
Prediction Method Of Banana Pulp Defect By Machine Vision, Zhang Zheng, Xiong Sheng-Hui, Wang Sun-Qiang, Hu Ling-Hui
Food and Machinery
In view of the problem that it is difficult to predict the inner pulp defect of banana, the machine vision technology is employed to recognize the image of banana peel and pulp, and then fits the recognition parameters to get the prediction model of pulp defect. The collected image, grayed and filtered, is recognized by double threshold and morphological analysis to extract banana peel, banana pulp, banana peel black spot and banana pulp defect. Thereafter, the total number of pixels in the extracted region is calculated, and the total number of pixels is taken as the area of the region. …
The Calculation Methods Of Goat Trunk’S Segmentation Trajectory Based On Machine Vision And Machine Learning, Li Zhen-Qiang, Wang Shu-Cai, Zhao Shi-Da, Wang Yu-Quan
The Calculation Methods Of Goat Trunk’S Segmentation Trajectory Based On Machine Vision And Machine Learning, Li Zhen-Qiang, Wang Shu-Cai, Zhao Shi-Da, Wang Yu-Quan
Food and Machinery
An automated segmentation method of goat trunk with machine vision and machine learning was proposed. 396 images of goat trunk were acquired randomly in a goat slaughtering plant by using two industrial cameras. 24 sets of feature parameters were extracte
A Vision-Based Image Detecting System For Cigarette Tipping Machine, Wu Chen-Gang, Yang Chen, Xie Chong-Quan, Zhang Rui-Ping
A Vision-Based Image Detecting System For Cigarette Tipping Machine, Wu Chen-Gang, Yang Chen, Xie Chong-Quan, Zhang Rui-Ping
Food and Machinery
In this paper, a kind of cigarette tipping paper detection system based on machine vision is proposed, which uses STM32 as the core controller to control the timing synchronization of the coiler. The cigarette tipping paper on the transition drum is collected by the industrial camera, and the length of the cigarette paper is calculated and measured, and the unqualified cigarette is eliminated. At the same time, the unqualified cigarette tipping paper and detection data are recorded by the guide rail scale. Through practical application, the detection accuracy of the system is better than ±0.05 mm, and the maximum detection …