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Journal articles on the topic 'Sorting system'

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Published: 5 June 2025

Last updated: 15 July 2025

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WANG, Yanyan. "Sorting Task Optimization of Automatic Sorting System." Journal of Mechanical Engineering 47, no. 20 (2011): 10. http://dx.doi.org/10.3901/jme.2011.20.010.

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Pilco, Andrea, Viviana Moya, Angélica Quito, Juan P. Vásconez, and Matías Limaico. "Image Processing-Based System for Apple Sorting." Journal of Image and Graphics 12, no. 4 (2024): 362–71. http://dx.doi.org/10.18178/joig.12.4.362-371.

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This study sheds light on the evolution of the agricultural industry and highlights advances in production area. The salient recognition of fruit size and shape as critical quality parameters underscores the significance of the research. In response to this challenge, the research introduces specialized image processing techniques designed to streamline the sorting of apples in agricultural settings, specifically emphasizing accurate apple width estimation. A purpose-built machine was designed, featuring an enclosure box housing a cost-effective camera for the vision system and a chain conveyor for classifying Malus domestica Borkh kind apples. These goals were successfully achieved by implementing image preprocessing, segmentation, and measurement techniques to facilitate sorting. The proposed methodology classifies apples into three distinct classes, attaining an impressive accuracy of 94% in Class 1, 92% in Class 2, and 86% in Class 3. This represents an efficient and economical solution for apple classification and size estimation, promising substantial enhancements to sorting processes and pushing the boundaries of automation in the agricultural sector.

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马, 俊杰. "Intelligent Garbage Sorting System." Software Engineering and Applications 11, no. 01 (2022): 160–70. http://dx.doi.org/10.12677/sea.2022.111018.

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Sontakke, Prof Sneha R. "Automated Waste Sorting System." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 54–57. http://dx.doi.org/10.22214/ijraset.2024.58256.

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Abstract: Managing solid waste through recycling is a crucial measure to mitigate adverse effects like sanitation and health issues arising from excessive landfill usage. However, the intricacies and costs associated with sorting solid waste pose challenges to recycling efforts. To streamline this process, our study proposes a Deep Learning approach employing computer vision to automatically recognize and categorize waste into five primary types: plastic, metal, paper, cardboard, and glass. Our conceptual system entails an automated recycling bin that opens its lid corresponding to the identified waste type. The primary focus of our work lies in the development and optimization of Machine Learning algorithms for efficient waste identification. We utilized pre-existing images to train a minimum of 12 variants of the Convolutional Neural Network (CNN) algorithm across three classifiers: Support Vector Machine (SVM), Sigmoid, and SoftMax. Our findings reveal that the VGG19 model with a SoftMax classifier achieves an accuracy of approximately 88%.

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Agum, Try Wardhana, Zamheri Ahmad, and Puspa Dilia. "IMPLEMENTATION OF PLC BASED AUTOMATIC SORTING SYSTEM." AUSTENIT 15, no. 1 (2023): 36–40. https://doi.org/10.5281/zenodo.7935360.

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<em>The </em><em>The sorting system is usually used as a load handling system in the industrial applications in order to increase the production rate, reduce human error, and increase the efficiency. There are two types of sorting system applied in the industrial applications such as manual sorting system and automatic sorting system. Most industries still using the manual sorting system compared to the automatic sorting system. The problem of manual sorting system is because of the efficiency during the production sytem. The purpose of this project was to presents the design and implementation of PLC based automatic sorting system for industrial applications. The system consists of a conveyor, limit switch, double acting cylinder, and Programmable Logic Controller. Omron PLC CPM2A was used to control the system based on the height of the box. The resulting box sorting system was capable to separate the height of 4 cm block and the height of 1 cm block into their respective location.</em>

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Sunil Saraf, Daksha. "Object Sorting System using Visual Inspection through Computer Vision." International Journal of Science and Research (IJSR) 11, no. 11 (2022): 192–96. http://dx.doi.org/10.21275/sr221031201117.

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Chen, Lei. "E-Commerce Sorting Equipment and System Based on Cloud Computing." Wireless Communications and Mobile Computing 2022 (August 13, 2022): 1–9. http://dx.doi.org/10.1155/2022/7947598.

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In order to solve the problems of order reduction and customer churn caused by sorting delays, the author proposes a method for e-commerce sorting equipment based on cloud computing. This method mainly adopts double-layer sorting equipment; compared with single-layer automatic sorting equipment, double-layer sorting equipment has the characteristics of higher efficiency and smaller floor space. The sorting method adopts the “group sorting” method, which can effectively improve the sorting efficiency of the sorting equipment. The algorithm method adopts the mathematical model based on cloud computing for calculation. Experimental Results. The author adopts the cloud computing-based “composition sorting” double-layer sorting equipment; compared with the traditional single-layer sorting equipment, the throughput of the single-layer sorting strategy is 0.72 pieces/s when the conveying speed of the conveyor belt is the same, the throughput of the two-layer same-direction strategy is 1.46 pieces/s, the throughput of the balanced load strategy is 1.97 pieces/s, and the throughput of the group sorting load strategy is 2.57 pieces/s. This method can effectively solve the problems of order reduction and customer churn caused by sorting delays.

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Xue, Xinyue, Hongjun Ye, and Zuocheng Hu. "Microfluidic System for Cell Sorting." Journal of Physics: Conference Series 2012, no. 1 (2021): 012129. http://dx.doi.org/10.1088/1742-6596/2012/1/012129.

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Stanfel, L. E., and Li-Jen Ko. "An expert system for sorting." Expert Systems 6, no. 3 (1989): 180–84. http://dx.doi.org/10.1111/j.1468-0394.1989.tb00361.x.

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Zhang, Yawan, and Wei Cheng. "Vision-based robot sorting system." IOP Conference Series: Materials Science and Engineering 592 (September 10, 2019): 012154. http://dx.doi.org/10.1088/1757-899x/592/1/012154.

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R, Gowrishankar, Divyasre T, Aiswarya G, Muthusaravanan K, and Ragavendhiran B. "AUTOMATED SORTING SYSTEM USING PLC." INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATION ENGINEERING AND TECHNOLOGY 16, no. 1 (2025): 52–66. https://doi.org/10.34218/ijecet_16_01_004.

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Wardhana, Agum Try, Ahmad Zamheri, and Dilia Puspa. "IMPLEMENTATION OF PLC BASED AUTOMATIC SORTING SYSTEM." AUSTENIT 15, no. 1 (2023): 36–40. http://dx.doi.org/10.53893/austenit.v15i1.6677.

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The sorting system is usually used as a load handling system in the industrial applications in order to increase the production rate, reduce human error, and increase the efficiency. There are two types of sorting system applied in the industrial applications such as manual sorting system and automatic sorting system. This project presents the design and implementation of PLC based automatic sorting system in mini scale size. The system consists of a conveyor, limit switch, double acting cylinder, and Programmable Logic Controller. Omron PLC CPM2A was used to control the system based on the height of the box. The resulting box sorting system was capable to separate the height of 4 cm block and the height of 1 cm block into their respective location.

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Lestari, Fitriana, Hafis Suwandi, Muhammad Widagdo Sidharto, et al. "Application of Mamdani Fuzzy Logic System on Catfish Sorting System (Clarias sp.)." Journal of Applied Science, Technology & Humanities 1, no. 3 (2024): 187–95. http://dx.doi.org/10.62535/ppvqgg56.

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In catfish farming activities, there is a sorting process and a calculation process that is carried out manually or conventionally which causes a lack of effectiveness of labor and time in cultivation and causes fish wounds or injuries after the sorting activity. This research aims to make the sorting process easier and more flexible. By considering factors such as weight, length and other physical conditions in a fuzzy manner, the system can provide more accurate decisions in determining the quality and type of fish, increase sorting efficiency, and reduce errors in fish grouping process. Logic systems can provide more accurate assessments, allowing fish producers or traders to better sort fish according to market standards and consumer needs. The data analysis method used uses qualitative methods. Data is analyzed by identifying patterns, themes and categories through the coding and interpretation process. Fuzzification in the development of an automatic fish sorter uses weight (gram) and length (cm) parameters as input while the output is a measure of consumption. Using this tool is said to be more effective than conventional fish sorting.

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Liu, Xiao Yan. "Design of Logistics Information System Based on RFID Technology." Applied Mechanics and Materials 608-609 (October 2014): 343–46. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.343.

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In order to improve the efficiency of picking system of logistics, the logistics sorting system modernization, informationization, the logistics sorting system integrated into other business systems, it is necessary to study the logistics sorting operation mode, sorting strategy of traditional, combine with the electronic information technology and modern equipment. The paper analyze and study distribution center picking system, the sorting business planning theory, implementation of electronic tags assisted picking system Etc..

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Pan, Fu-bin. "Simulation Design of Express Sorting System—Example of SF’s Sorting Center." Open Cybernetics & Systemics Journal 8, no. 1 (2014): 1116–22. http://dx.doi.org/10.2174/1874110x01408011116.

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Huang, Jin E. "Study on the Application of PLC in Coal Sorting System." Applied Mechanics and Materials 686 (October 2014): 164–68. http://dx.doi.org/10.4028/www.scientific.net/amm.686.164.

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In order to reduce the coal production cost and labor, PLC is designed as the core technology of coal sorting, and a lot of sensor to distinguish colors and properties of coal join in this system. The sorting effect is very good. PLC coal sorting system has stable, safe, simple, reliable and other advantages, can improve the efficiency of coal production, and has brought the huge profit space for the enterprise. This paper first analyzes the PLC sorting system requirements and functions, and then discusses the control principle of PLC automatic sorting, the total design scheme of automatic sorting and related hardware design analysis, researches and hopes to help PLC coal sorting technology.

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Sharma, Aswant Kumar, Akshay Krishna Varak, Shubham Arun Gitaye, Nishant Vijay Gavali, and Prathamesh Kishor Bate. "Fruit Sorting by Pizzo-electric Sensor and PLC Controlling." Asian Journal of Advances in Agricultural Research 24, no. 6 (2024): 48–56. http://dx.doi.org/10.9734/ajaar/2024/v24i6512.

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Abstract: The fruit sorting process traditionally relies on visual inspection, primarily considering size as a key quality parameter. However, industries engaged in large-scale fruit trading have turned to image processing technology for sorting, despite its high cost and impracticality for small traders. This paper proposes an alternative sorting system that offers an economical solution suitable for automated fruit sorting at various scales. Aim: The aim of this study is to develop an economical automated fruit sorting system capable of classifying fruits based on their weight, thereby eliminating the need for manual labor and improving sorting accuracy and efficiency. Place and Duration of Study: Department of Electrical Engineering Finolex Academy of Management and Technology, Ratnagiri, Maharashtra, between July 2023 to April 2024. Study Design: This study employs a practical approach to design an automated fruit sorting system that utilizes Programmable Logic Controller (PLC) technology in conjunction with load cells. The system is designed to classify fruits based on their weight as they move along a conveyor belt, thereby automating the sorting process. Methodology: The proposed sorting system integrates PLC technology and load cells to accurately measure and classify fruits based on their weight. By eliminating the need for manual intervention, the system enhances sorting efficiency and accuracy. The system is designed to be cost-effective and suitable for implementation by small traders and farmers. Results: The developed sorting system demonstrates precise, reliable, and consistent sorting outcomes based on fruit weight. By automating the sorting process, the system achieves improved efficiency and productivity compared to traditional manual sorting methods. Moreover, the cost-effectiveness of the system makes it accessible to small traders and farmers seeking to enhance their sorting practices. Conclusion: The proposed sorting system offers an economical and efficient solution for automated fruit sorting, particularly for small traders and farmers. By leveraging PLC technology and load cells, the system provides reliable alternative to costly image processing-based methods. The automation of the sorting process eliminates the risk of errors and inconsistencies associated with manual sorting, while ensuring accurate and quantitative classification based on fruit weight. This sorting system presents a practical approach to improving fruit trading operations, enhancing efficiency, and productivity.

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Bai, Zhen Lin, Qin Run Wen, and Mei Yang. "A Pearl Automatic Sorting System Based on Image Identification." Applied Mechanics and Materials 496-500 (January 2014): 1574–77. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1574.

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This paper introduces a pearl automatic sorting system. The design conforms to the national condition of our country. With the use of pearl automatic sorting system, automatic sorting instead of the cumbersome manual sorting workers. It uses computer image processing technology and numerical control technology. It has a positive effect to guarantee product quality. And it can improve the market competitiveness of enterprises.

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Alboteanu, Laurentiu, and Florin Ravigan. "Automatic Sorting System for Educational Training." Annals of the University of Craiova Electrical Engineering Series 46 (December 22, 2021): 42–48. http://dx.doi.org/10.52846/aucee.2022.07.

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At the same time as the introduction of automated equipment in industry, production operators and mainte-nance workers servicing automated stations require profes-sional training courses depending on the category and job. Depending on the particularity of the production process, these training courses can be done internally at the produc-tion unit, at external industrial partners or at universities. The paper presents an automatic tire sorting system made on a small scale. The sorting system is composed of an input stock and two output stocks of sorted tires. Tire stor-age in the two output stocks is done with an electro-pneumatic manipulator robot. The sorting is done according to the tire bead width, for which the system is equipped with the appropriate sensors. The structure is controlled by an Arduino Mega2560 microcontroller development system. The sorting station can also be controlled manually by the operatorvia a joystick and some buttons. In comparison to other sorting systems, the robot structure is simpler. It performs the transfer of the tires by only two movements, thus reducing the handling time. Also, the automatic sorting system realized corresponds to the requirements imposed on flexible production systems. The automatic system can be used both for training students from technical faculties and industrial operators in the field.

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Borkar, Harshita, Mohan Rambhad, Kalyani Paunikar, Ankit Karanjikar, and Dr J. S. Gawai. "Color Sorting System Using Arduino Nano." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 487–91. http://dx.doi.org/10.22214/ijraset.2022.40658.

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Abstract: Sorting of object is a vital mechanical method within which troublesome work is kind of required. Chronic manual arrangement makes consistency troubles. Machines will perform in the main dreary assignments superior to human beings. Working man exhaustion on ordered producing structures may {end up} in reduced execution, and purpose troubles in holding up object fine. A worker who has been showing analysis enterprise over and over could in addition within the end ditch to acknowledge the color of tem, however a machine in no way. In this paper we have describe on the sorting machine which can be help to sort the products. There’s a large usage of the many product in our day to day life, associate degreed producing of this products are tired many large scale and tiny scale industries. Arrangement makes quality consistency issue. Today the most issue that's visage when the assembly is of sorting arrangement of things in an trade may be a uninteresting trendy process, that is by and huge done physically. We are implementing the color sorting machine with the new feature which can count the marbles as well as detect. Keywords: Color Sorting, TCS3200, Arduino Nano, LCD display.

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Zhang, Haojian, Tingting Su, Shaohong Wu, Jun Zheng, and Yunkuan Wang. "Simultaneous path planning and trajectory optimization for high-speed sorting system." International Journal of Advanced Robotic Systems 15, no. 5 (2018): 172988141879787. http://dx.doi.org/10.1177/1729881418797870.

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This article presents a strategy for efficient sorting path planning and trajectory optimization with multiple constraints. The proposed strategy is applicable to typical high-density sorting applications. It plans the sorting path while optimizing each trajectory. The total stroke traveled by the end effector to complete the sorting task is shortened, and the efficiency of the production line is correspondingly facilitated. Thus, this article designs bow-shaped trajectories by analyzing the work process of the production line to ensure the smooth transition of the end effector and bow-shaped trajectories are based on the starting point and the end point of each sorting action. The modified trapezoidal acceleration and deceleration algorithm is used to optimize each sorting trajectory, which ensures that each sorting action is executed quickly and stably. Simultaneously, the greedy strategy is applied to plan the sorting task, which further shortens the total stroke of the end effector and improves the efficiency of the production line. A specific cost function is also designed to improve the planning strategy to prevent the occurrence of missing materials and enhance the adaptability of the sorting system. In consideration of the efficiency of the sorting system is significantly improved by this approach, the effectiveness of the proposed strategy in this article is thus verified compared with existing ones by experiments. In addition, the impact of the conveyor speed on the sorting system is also discussed.

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Hou, Lixin, Zeye Liu, Jixuan You, et al. "Tomato Sorting System Based on Machine Vision." Electronics 13, no. 11 (2024): 2114. http://dx.doi.org/10.3390/electronics13112114.

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In the fresh tomato market, it is crucial to sort and sell tomatoes based on their quality. This is important to enhance the competitiveness and profitability of the market. However, the manual sorting process is subjective and inefficient. To address this issue, we have developed an automatic tomato sorting system that uses the Raspberry PI 4B as the control platform for the robot arm. This system has been integrated with a human–computer interaction interface sorting system. Our experimental results indicate that this sorting method has an accuracy rate of 99.1% and an efficiency of 1350 tomatoes per hour. This development is in line with modern agricultural mechanization and intelligence needs.

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Pratik, Roy, Roy Satakshi, Agrawal Rahul, and Sharma Sonal. "Color Based Object Sorting System using Deep Learning." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 964–68. https://doi.org/10.35940/ijeat.E9896.069520.

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Object sorting is a very common industrial application but at the same time it is a tiresome process as handling so many objects is a menial task which is not so promising in maintaining consistency and thereby arising quality issues. Object sorting, if done manually, is not only time consuming but also it seems to be an uphill task pragmatically. Nowadays amid various technological advancements, industries have become fully automated so an automated sorting system is essentially required to replace this conventional system of manual sorting knowing that this process can be made completely autonomous by properly channeling the use of technology. The main objective of this paper is to propose a smarter, intelligent and cost-effective object sorting system which categorizes the objects based on their respective color and will place them at their designated locations to minimize the cost and optimize the productivity. We have implemented the sorting system using Raspberry pi (an open-sourced Linux based board) interfaced with a camera module along with some side electronic circuitry such as servo motors and sensors. The color recognition is done using the IBM Watson visual recognition model where we have uploaded the dataset of captured images. For picking and sorting the objects, we have made use of a robotic arm that will rotate with the help of servo motor up to certain angles.

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Zakozhurnikov, Sergey, and Galina Zakozhurnikova. "Development of a control system for sorting agricultural products according to specified criteria." E3S Web of Conferences 390 (2023): 03019. http://dx.doi.org/10.1051/e3sconf/202339003019.

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The article presents a process control system for sorting agricultural products. The technological process of sorting is described, the composition of the system is indicated, the sorting algorithm is developed. ProgramLab software was used as the modeling environment. Color and weight were selected as sorting criteria. The parameters at the input of the control object, which have the greatest influence on the process were selected. The output parameters were the conveyor speed and the final position of the sorting object. A scheme of cause-and-effect relationships of the sorting process is obtained. A block diagram of the sorting process has been developed. A mathematical model for calculating the speed of a conveyor depending on the distance between the robotic arm and the conveyor, as well as between the robotic arm and the parts unloading points was obtained. A 3d model of the sorting process has been developed. Three basic scenarios for the location of places for unloading agricultural products are considered. The introduction of the developed system will help reduce number of rejects during sorting, increase the efficiency of the sorting process and improve economic performance. Improving the sorting process will help reduce equipment wear and extend equipment life.

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Ugurluay, Selcuk, and Ibrahim Deniz Akcali. "Development of a vibrationless sorting system." Spanish Journal of Agricultural Research 19, no. 1 (2021): e0204. http://dx.doi.org/10.5424/sjar/2021191-15884.

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Aim of study: Size classification is essential in many industrial processes. Most classical sorting systems use vibrations as a means of classification function. In this study, a vibration-free sorting system called helical cylindrical screen has been developed against the disadvantages of vibrating systems and proposed to be used in the sorting of crop seeds.Area of study: Adana City, Turkey.Material and methods: The movement of the seed mass on the screen surface was formulated and the mass movement along the circular-helical paths was analytically expressed, leading to some operational parameters for evaluation in the screen design. By combining the mass movement parameters with effective separation conditions, an algorithm was obtained against the desired mass flow rate to determine the appropriate values of the design parameters. Experiments were performed on the machine, which was manufactured to sort peanut seeds into two different sizes, small and large.Main results: The results obtained in the experiments (separation efficiency, mass flow rate, effect of grain size on separation efficiency and equilibrium angle) were compared with the theoretical ones. The separation efficiency of the machine (99% and above) was quite good and is not affected at all by the small size ratio contained in the mixtures. The limitations of the theoretical velocities (axis and tangent) of a seed moving on the cylindrical sieve were found to be consistent with those obtained experimentally.Research highlights: The helical cylindrical sieve can be used for other particulate agricultural products with smooth surfaces such as soybeans, kidney beans, peas, etc.

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Takeda, Koya. "Waste Sorting System and Resource Efficiency." Material Cycles and Waste Management Research 27, no. 1 (2016): 93–95. http://dx.doi.org/10.3985/mcwmr.27.93.

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Yadayna, Khofifatul. "Cigarette Rod Sorting System on Conveyors." Jurnal Jartel: Jurnal Jaringan Telekomunikasi 10, no. 1 (2020): 8–12. http://dx.doi.org/10.33795/jartel.v10i1.160.

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Kretek cigarettes are a type of cigarette that is still in demand today. The manufacturing of kretek cigarettes in factories still has limitations, especially in the process weighing cigarettes per stick. From this problem, a tool is needed to separate cigarettes based on the weight of the cigarette that has been determined per stick. And the results of the cigarette weight sorter can be monitored via the website to reduce errors in the size of the clove cigarette. The method used in this study is to make a cigarette sorting tool using a conveyor with a DC servo motor component as a driving force for the conveyor to be 3 parts by weight, namely parts weigh <1.5 grams, parts weight> 1.5 grams and parts = 1.5. gram. Based on the results of the study, 1 pack of cigarettes where each pack contains 12 cigarettes shows that there are 2 cigarettes <1.5 grams, 7 cigarettes> 1.5 grams and 3 cigarettes corresponding to 1.5 grams. The results of the study indicate that the manufacture of a cigarette sorting system on the conveyor can help the cigarette weighing process to be more precise.

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KARGIN, V. A., D. YU SOKHINOV, K. M. USANOV, S. A. MOKRUSHIN, and I. V. KROTOV. "NTELLIGENT AUTOMATED FRUIT SORTING MANAGEMENT SYSTEM." Elektrotekhnologii i elektrooborudovanie v APK 71, no. 2 (2024): 100–106. http://dx.doi.org/10.22314/2658-4859-2024-71-2-100-106.

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The development of effective technologies to reduce labor costs for the production, storage and processing of agricultural products is a difficult task. One of the promising directions of increasing the efficiency of technological processes in the agro-industrial complex is the full use of vision systems and artificial intelligence algorithms. Assessment of the quality of crop production is applied at various stages of production and allows detecting its damage, including during sorting. Due to the high productivity of production lines at the facilities of the agro-industrial complex, it seems effective to use intelligent information and control systems operating on the basis of machine learning algorithms. (Research purpose) The research purpose is proposing an approach to the creation of an intelligent automated control system for the fruit picking process using a vision system. (Materials and methods) Considered the structure of the information and control system of fruit sorting using a system of technical vision and machine learning. We implemented the test architecture of the neural network using the Keras library based on the Python language, the research was carried out in the google.collaborate service. A prepared data set based on images obtained on the production line was used to train the neural network. (Results and discussion) The structure of the convolutional neural network architecture was obtained, which allows us to adequately and with a sufficient accuracy solve the problem of classifying fruits into healthy and damaged ones in order to integrate it into an intelligent information and control sorting system. (Conclusions) Proposed an approach to improving the fruit sorting process, for example, for further processing into juice, using a technical vision system and machine learning. The structure of a convolutional neural network was developed to solve the problem of classifying apples by appearance, which became the basis for creating an intelligent information and control system for assessing the area of damage to the surface of fruits.

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Balasubramanian, Karthikeyan, and Iyad Obeid. "Fuzzy logic-based spike sorting system." Journal of Neuroscience Methods 198, no. 1 (2011): 125–34. http://dx.doi.org/10.1016/j.jneumeth.2011.03.016.

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Gaceb, Djamel, Véronique Eglin, Frank Lebourgeois, and Hubert Emptoz. "Improvement of postal mail sorting system." International Journal of Document Analysis and Recognition (IJDAR) 11, no. 2 (2008): 67–80. http://dx.doi.org/10.1007/s10032-008-0070-8.

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Postrygan, Oleksandr. "Control Design for Sorting Conveyor System." Acta Mechanica Slovaca 26, no. 2 (2022): 24–29. http://dx.doi.org/10.21496/ams.2022.023.

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Sutey, Rohini, Shivani Kamble, Ritik Tembhurne, Rushikesh Sonare, Abhishek Labhane, and Dr Tarun Shrivastava. "Weight based Object Shorting Automation System Using IoT based Application." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 250–54. http://dx.doi.org/10.22214/ijraset.2023.48542.

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Abstract: Now a day’s industrial area requires demand for automation. Due to automation human efforts are decreasing since last decade. Object sorting based on weight is difficult task in recent days. In industry there is rapidly increasing demand for automation. The Sorting of objects based on weight is very difficult task. This project gives us an idea about automatic colour sorting. Here we are designing and implementing an efficient sorting using laser sensor based on Arduino .This project gives high accuracy and performance. Easy to operate and construct which reduces human errors. Existing sorting method uses a set of inductive, capacitive and optical sensors do differentiate object based on weight.

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Tan, Zheyi, Haolin Li, and Xueting He. "Optimizing parcel sorting process of vertical sorting system in e-commerce warehouse." Advanced Engineering Informatics 48 (April 2021): 101279. http://dx.doi.org/10.1016/j.aei.2021.101279.

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Priambodo, Joko, Fauzi Imaduddin Adhim, and Enny Indasyah. "Product Sorting System In Checker Sorting Process Using The Template Matching Method." Applied Technology and Computing Science Journal 5, no. 1 (2022): 1–10. http://dx.doi.org/10.33086/atcsj.v5i1.3694.

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In supporting the production activities of a company, an infrastructure unit is needed that is capable of supporting the production activities of a company. Several companies that produce animal feed and processed food have problems related to the failure of the sorting process. The sorting process for checking packaged products is still carried out by human power, so errors often occur due to human negligence in sorting packaged products. Therefore a tool is designed to sort automatically and be able to distinguish differences from packaged products using image processing with the Template Matching method. Then, proceed with looking for accurate calculations using the Template Matching algorithm, which will help detect differences between packaging products A and B. The technique used in the method is the calculation of values using greyscale imagery and image segmentation with ten trials based on the labels on the template features used. After testing, the best accuracy results, namely 59% obtained on image segmentation

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Chen, Anzhi. "Examination of an Image Identification System for Agricultural Machines Based on Machine Vision." Journal of Combinatorial Mathematics and Combinatorial Computing 119, no. 1 (2024): 143–52. http://dx.doi.org/10.61091/jcmcc119-15.

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As computer and mechanical automation technologies advance, machine vision-based non-destructive testing technology finds use in a multitude of domains. Non-destructive testing technologies can be used on apple sorting equipment to decrease apple damage while simultaneously increasing sorting efficiency. As a result, the apple sorting machine’s image identification system now incorporates machine vision technology. The automatic classification of apple grades is accomplished by gathering, processing, extracting, and computing the contour features of apple photographs using preset sorting levels. The automatic control system then sorts apples of different grades to designated locations, thus achieving the automation of apple sorting. Tests were run on the sorting machine’s image recognition system to confirm the solution’s viability. The outcomes demonstrate that the sorting machine can effectively classify fruit automatically based on their perimeter, which is important for fruit sorting automation.

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Wang, Yulu, Yi Han, Jun Chen, Zhou Wang, and Yi Zhong. "An FPGA-Based Hardware Low-Cost, Low-Consumption Target-Recognition and Sorting System." World Electric Vehicle Journal 14, no. 9 (2023): 245. http://dx.doi.org/10.3390/wevj14090245.

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In autonomous driving systems, high-speed and real-time image processing, along with object recognition, are crucial technologies. This paper builds upon the research achievements in industrial item-sorting systems and proposes an object-recognition and sorting system for autonomous driving. In industrial sorting lines, goods-sorting robots often need to work at high speeds to efficiently sort large volumes of items. This poses a challenge to the robot’s real-time vision and sorting capabilities, making it both practical and economically viable to implement a real-time and low-cost sorting system in a real-world industrial sorting line. Existing sorting systems have limitations such as high cost, high computing resource consumption, and high power consumption. These issues mean that existing sorting systems are typically used only in large industrial plants. In this paper, we design a high-speed, low-cost, low-resource-consumption FPGA (Field-Programmable Gate Array)-based item-sorting system that achieves similar performance to current mainstream sorting systems but at a lower cost and consumption. The recognition component employs a morphological-recognition method, which segments the image using a frame difference algorithm and then extracts the color and shape features of the items. To handle sorting, a six-degrees-of-freedom robotic arm is introduced into the sorting segment. The improved cubic B-spline interpolation algorithm is employed to plan the motion trajectory and consequently control the robotic arm to execute the corresponding actions. Through a series of experiments, this system achieves an average recognition delay of 25.26 ms, ensures smooth operation of the gripping motion trajectory, minimizes resource consumption, and reduces implementation costs.

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Basarab, J. A., D. Milligan, J. J. McKinnon, and B. E. Thorlakson. "Potential use of video imaging and real-time ultrasound on incoming feeder steers to improve carcass uniformity." Canadian Journal of Animal Science 77, no. 3 (1997): 385–92. http://dx.doi.org/10.4141/a96-130.

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A study was conducted to evaluate two feeder cattle sorting systems for their ability to improve carcass backfat uniformity. One thousand and thirty-one yearling steers (407 kg; SD = 46.2 kg) were assembled and processed at three Alberta feedlots. Each steer was weighed and ultrasonically assessed for backfat thickness and l. dorsi area 88 to 154 d before slaughter. Rump height, frame score and muscle score were also recorded using an automated video imaging system, called the Musculo-Skeletal Imaging (MSI) Scanner. Sorting System 1 (MSI sorting system) used initial body weight, frame score and muscle score to hypothetically cluster animals into five "predicted days on feed" (PDOF) groups. Sorting System 2 (Oltjen sorting system) used initial body weight, rump height, backfat thickness, feeding inputs and a computer model of cattle growth to hypothetically cluster animals into five PDOF groups. Each sorting system was compared with the traditional system of visually sorting cattle at the end of the feeding period for its ability to reduce the variability in carcass backfat thickness. Steers were identified for slaughter when they reached the body weight and condition desired by the feedlot manager. The MSI sorting system decreased the variability in slaughter weight by 14.3% (P < 0.001), but had no effect on the variability in carcass backfat thickness compared with the observed variability. The change in predicted net return resulting from the MSI sorting system varied between feedlot from $−4.09 to $8.82 head−1 slaughtered. The Oltjen sorting system increased the variability in slaughter weight by 33.9% (P < 0.001) and decreased the variability in carcass backfat thickness by 15.5% (P < 0.001). The predicted net return from the Oltjen sorting system varied between feedlot from $−3.65 to $11.55 head−1 slaughtered. Further work is required to determine the actual effect of sorting systems on feed efficiency, carcass quality and net return. Key words: Sorting, computer model, electronic identification, steers

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Jangam, Ms Disha D. "Automation of Fruit Sorting Process Using Conveyor Belt System." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 2630–35. http://dx.doi.org/10.22214/ijraset.2023.53976.

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Abstract: Fruit sorting is an important step in the fruit industry since it ensures that only high-quality fruits are sold. Manual sorting takes time, is labour-intensive, and is prone to human error. The use of a conveyor belt system with machine vision to automate the sorting process can increase the efficiency and accuracy of fruit quality sorting. This study describes the design and execution of a conveyor belt system for sorting fruit quality using machine vision. The approach is intended to sort fruits based on their appearance, such as colour, size, and form. The machine vision system is trained using a collection of photos of variable quality fruits, allowing it to differentiate between high-quality and low-quality fruits. The conveyor belt system is made up of a motor, sensors, and a camera that takes pictures of the fruits as they move along the belt. The machine vision system processes the photos in real time, determining the quality of each fruit and directing it to the right bin. The precision, speed, and efficiency of the system are all measured. The technology looks potential for increasing the efficiency and accuracy of fruit quality sorting in the fruit sector.

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Wang, Yu, Dong Li, and Yan Lin Wang. "Software Design of Quartz Crystal Test and Sort System." Advanced Materials Research 834-836 (October 2013): 1881–84. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1881.

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The demands for quartz crystal become bigger and bigger in electronic market. A software system of quartz crystal test and sort was designed. The application program of software system was written based on VS2008 platform. The system used 250B to test parameters of quartz crystal, read sensor values and send control command to peripheral actuators through PCI interface. The sorting results can be obtained by comparing test results with threshold values. According to the sorting results, the peripheral actuators were driven to work, make quartz crystal sorted into the correct sorting box. Experiments show that the software system can complete testing and sorting of quartz crystal.

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Gokyuu, Takuya, Satoru Nakamura, Takao Ueno, Munetaka Nakamura, Daisuke Inoue, and Yoshitaka Yanagihara. "Sorting System for Recycling of Construction Byproducts with Bayes’ Theorem-Based Robot Vision." Journal of Robotics and Mechatronics 23, no. 6 (2011): 1066–72. http://dx.doi.org/10.20965/jrm.2011.p1066.

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To further the proper and high-quality disposal of construction wastes (construction byproducts) and to improve safety in sorting operations, we have developed a system, which uses robot vision to determine materials based on the Bayes’ theorem, to sort construction byproducts of a wide variety of sizes and shapes that are discharged from building demolition sites. We have conducted, using construction byproducts discharged from actual demolition sites, sorting experiments with the developed sorting system. These experiments have demonstrated sorting accuracies of not less than 60%. These results prove the system’s effectiveness in sorting construction byproducts.

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Khanutin, V. G., and A. V. Sinitsyn. "Approaches to developing a household waste removal system." Information and Innovations 19, no. 1 (2024): 29–47. http://dx.doi.org/10.31432/1994-2443-2024-19-1-29-47.

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Purpose. To study approaches and global trends in the removal, sorting and processing of household waste, as well as to describe a prototype waste removal system.Methods for sorting, processing and disposal of waste are proposed.Results. The need to solve the problem of waste disposal in modern conditions is substantiated, the results of an analysis of approaches to collecting, sorting and processing waste in different countries are obtained, a literature review is provided, and a prototype of a waste removal system is described.Conclusions. The author concludes that in order to ensure a reduction in the level of environmental pollution and, as a consequence, a reduction in the number of landfills, it is necessary to combine, optimize and adapt global approaches and trends in the collection, sorting, processing and disposal of waste.

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Jia, Jinwei, Zhuangzhi Han, Yuying Liang, Limin Liu, and Xuetian Wang. "Design of Multi-Parameter Compound Modulated RF Stealth Anti-Sorting Signals Based on Hyperchaotic Interleaving Feedback." Entropy 24, no. 9 (2022): 1283. http://dx.doi.org/10.3390/e24091283.

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Radio frequency (RF) stealth anti-sorting technology is a research hotspot in the radar field. In this study, the signal design principles of anti-cluster and anti-SDIF sorting were investigated for processes of clustering pre-sorting and sequence-difference-histogram main sorting. Then, in accordance with the signal design principle, a 2D interleaving feedback hyperchaotic system based on the cosine-exponential was designed. A method to modulate the pulse repetition interval (PRI) of the signal parameters and carrier frequency with wide intervals through the hyperchaotic system was developed. Finally, we verified the correctness of the signal design principle, the performance of the hyperchaotic system, and the anti-sorting performance of the designed signal using simulations. The results showed that the signal design principle could guide the signal design. The hyperchaotic system outperformed the classical 1D and 2D chaotic systems and the classical 3D Lorenz systems in terms of randomness and complexity. Anti-cluster sorting and anti-SDIF sorting could be realized by anti-sorting signals modulated by a hyperchaotic system, with the anti-SDIF sorting performance being better than that of the PRI random jitter signal.

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Zhang, Shubo. "Application development analysis and prospect of express sorting system based on mechanical arm." Applied and Computational Engineering 34, no. 1 (2024): 108–13. http://dx.doi.org/10.54254/2755-2721/34/20230309.

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At present, with the improvement of peoples living standards and the rapid development of e-commerce, the volume of express delivery is increasing. The existing manual express sorting method is high-cost and low-efficiency, and an efficient domestic waste sorting method is urgently needed by the society. At present, the field of robotics is developing rapidly, and mechanical arms have various types and functions. Using mechanical arms to replace manual work to complete express sorting tasks has advantages such as high efficiency and labor saving. This paper analyses the application and development of different types of mechanical arms in express sorting system. First, the research status of express sorting and the development of mechanical arm are introduced in detail. Second, based on the structural characteristics, mechanical arms are divided into articulated robot and parallel manipulator. At the same time, the characteristics of the two kinds of mechanical arms and their application in express sorting system are analysed. Finally, by comparing the advantages and limitations of different mechanical arms in express sorting field, the application prospects of different types of mechanical arms in logistics sorting field are discussed.

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Di, Yi-Juan, Jian-Ping Shi, and Guo-Yong Mao. "A QR code identification technology in package auto-sorting system." Modern Physics Letters B 31, no. 19-21 (2017): 1740035. http://dx.doi.org/10.1142/s0217984917400358.

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Traditional manual sorting operation is not suitable for the development of Chinese logistics. For better sorting packages, a QR code recognition technology is proposed to identify the QR code label on the packages in package auto-sorting system. The experimental results compared with other algorithms in literatures demonstrate that the proposed method is valid and its performance is superior to other algorithms.

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B.Badadwar, Bhakti, J. S. Awati, and M. S. Kumbhar. "Fuzzy Power, Converter for Color Sorting System." Journal of Power Electronics and Devices 9, no. 3 (2023): 7–13. http://dx.doi.org/10.46610/joped.2023.v09i03.002.

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Intelligent robot technology is currently widely applied to all facets of human production and existence. Future development must focus on using intelligent robots rather than humans to achieve automatic sorting. In the field of sorting robots, color sorting robots are a significant research object. This paper examines the color recognition principle of the TAOS Company’s TCS3200 color sensor, based on the introduction of the theory of three primary colors. It goes into detail about how important white balance is. An ATmega16 single-chip microcomputer serves as the robot's brain, color and grey sensors serve as its sense organs, and steering gears are used as its moving parts in the design of a color block sorting robot. It is capable of recognizing, organizing, and manipulating various color blocks. The technique of multiple detections and high probability results are used in color recognition, which greatly increases detection accuracy. There is a specific practical benefit to the system.

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Choithwani, Nimrata. "Conveyor Belt Sorting System using Mobile Application." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2921–26. https://doi.org/10.22214/ijraset.2025.67962.

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This project presents the design and implementation of an automated Conveyor Belt Sorting System controlled using a mobile application. The system is designed to streamline sorting operations in industries, logistics, and waste management by classifying objects based on parameters such as color, size, or weight. It employs sensors like IR sensors, color sensors, and weight sensors to detect and analyze objects. A microcontroller processes the sensor data and controls the conveyor belt's movement, ensuring accurate sorting. The mobile application, developed using platforms like Flutter or MIT App Inventor, provides a user-friendly interface for real-time monitoring and remote control. Operators can start or stop the conveyor, select sorting criteria, adjust belt speed, and receive alerts in case of errors. Wireless communication using Bluetooth or Wi-Fi facilitates seamless interaction between the app and the system. The system is scalable and can be customized for various industries, including e-commerce, recycling plants, and food processing

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Setiawan, Angga Tegar, Suwandy Suwandy, Hendi Lilih Wijayanto, and Abdul Wahid Arohman. "Automated Sorting Conveyor Using Pneumatic Actuators for Industrial Applications at Morowali Metal Industry Polytechnic." Jurnal Teknologi dan Manajemen 22, no. 2 (2024): 37–48. http://dx.doi.org/10.52330/jtm.v22i2.284.

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The use of automatic sorting systems in industry plays a crucial role in saving time and reducing manual labor through automation. The main challenges are the high error rate and slow manual sorting processes. This research aims to design and develop an automatic sorting conveyor system using Arduino technology and pneumatic actuators to enhance sorting efficiency and accuracy. The proposed solution is a system capable of detecting and sorting objects based on size with very low error rates, thereby increasing productivity and reducing human error. The design and development of this system involve creating a 3D model of components such as the conveyor frame, belt, motor, pneumatic actuators, and sensors, and integrating them into a complete system. Testing was conducted with seven differently sized test objects to evaluate the system's performance in detecting and sorting objects based on size and height. Input and output voltage measurements ensure performance in line with the expected specifications. The research results demonstrate that the developed automatic sorting conveyor system effectively sorts objects with high accuracy. The system can detect and sort objects based on size with a 0% error rate, reducing the time required for the sorting process compared to manual methods. The use of pneumatic actuators and appropriate sensors ensures consistent and reliable system performance. The test results indicate that the system can be integrated into various industrial applications to enhance production efficiency. The developed automatic sorting conveyor system successfully improves the efficiency and accuracy of the sorting process in industry. It shows significant potential for reducing human error and increasing productivity, making it a practical solution for various industrial applications.

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kumar, V. Ranjith. "Development of Automated Waste Sorting and Recycling System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41926.

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The proposed automated waste sorting and recycling system in this research incorporates state-of-the-art sensing technologies and machine learning techniques to make the waste management process efficient and optimized. With the use of computer vision and sensors, the system accurately detects and sorts various forms of waste materials. Following that, the system activates automated sorting processes that divert recyclable products into corresponding recycling streams. By streamlining the sorting process, the system effectively separates recyclable and non-recyclable materials, maximizing the recovery of resources and minimizing recycling stream contamination. By minimizing manual sorting dependency, this automated system not only improves the speed and accuracy of recycling but also enables a safer and cleaner working condition for waste management. As we aim for a more sustainable world, this state-of-the-art recycling system is at the leading edge of reducing environmental footprint and increasing the possibility of material reuse in an ever-changing world. This new technology seeks to maximize resource recovery, reduce environmental footprint, and lead towards a more sustainable waste management system. Key Words: Design, Automation, Waste management, Sorting, Recycling, Optimization, scalability, sustainability.

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Mingyang, Li, and Li Chengrong. "Research on Household Waste Detection System Based on Deep Learning." E3S Web of Conferences 267 (2021): 01034. http://dx.doi.org/10.1051/e3sconf/202126701034.

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Household waste is threatening the urban environment increasingly day by day for people’s material needs increasing with the acceleration of urbanization. In this paper, a new waste sorting model is proposed to solve the problems of waste sorting. The style transfer was used to increase the data set to make some objects be sorted well. Then the rotational attention mechanism model was used to increase the accuracy of waste sorting of the blocked objects. The representation vector extraction module in the target tracking algorithm Deep Sort was replaced with Siamese network to make the network more lightweight. As a result, this paper effectively solves the current waste sorting tasks.

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Vieira, Neide, Teresa Rito, Margarida Correia-Neves, and Nuno Sousa. "Sorting Out Sorting Nexins Functions in the Nervous System in Health and Disease." Molecular Neurobiology 58, no. 8 (2021): 4070–106. http://dx.doi.org/10.1007/s12035-021-02388-9.

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AbstractEndocytosis is a fundamental process that controls protein/lipid composition of the plasma membrane, thereby shaping cellular metabolism, sensing, adhesion, signaling, and nutrient uptake. Endocytosis is essential for the cell to adapt to its surrounding environment, and a tight regulation of the endocytic mechanisms is required to maintain cell function and survival. This is particularly significant in the central nervous system (CNS), where composition of neuronal cell surface is crucial for synaptic functioning. In fact, distinct pathologies of the CNS are tightly linked to abnormal endolysosomal function, and several genome wide association analysis (GWAS) and biochemical studies have identified intracellular trafficking regulators as genetic risk factors for such pathologies. The sorting nexins (SNXs) are a family of proteins involved in protein trafficking regulation and signaling. SNXs dysregulation occurs in patients with Alzheimer’s disease (AD), Down’s syndrome (DS), schizophrenia, ataxia and epilepsy, among others, establishing clear roles for this protein family in pathology. Interestingly, restoration of SNXs levels has been shown to trigger synaptic plasticity recovery in a DS mouse model. This review encompasses an historical and evolutionary overview of SNXs protein family, focusing on its organization, phyla conservation, and evolution throughout the development of the nervous system during speciation. We will also survey SNXs molecular interactions and highlight how defects on SNXs underlie distinct pathologies of the CNS. Ultimately, we discuss possible strategies of intervention, surveying how our knowledge about the fundamental processes regulated by SNXs can be applied to the identification of novel therapeutic avenues for SNXs-related disorders.

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