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Articles de revues sur le sujet « Color Sorting Machine »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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1

S, Nalinkumar, Arun M, Barathwaj S, and Biju J. "IOT COLOR BASED PRODUCT SORTING MACHINE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26036.

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The IoT Color-Based Product Sorting Machine is a cutting-edge automated system designed to revolutionize the manufacturing and packaging industries. This innovative solution employs Internet of Things (IoT) technology to enable efficient and precise sorting of products based on their color attributes. The system integrates advanced image recognition algorithms, sensor networks, and cloud computing to streamline the sorting process. Color Based Object Sorting has a wide usage in fruit sorting as well as candy sorting industries. This system puts forward a mechanism to detect color and sort item

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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 w

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D, A. Jakkan, Bharat Sudhakar Chaugule, Sanket Vilas Jagtap, and Umar Aslam Khan. "Color Based Product Sorting Machine using IOT." Journal of Embedded Systems and Processing 4, no. 3 (2019): 25–29. https://doi.org/10.5281/zenodo.3543032.

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Object sorting systems is one of the useful systems in today’s Industrial world. Previously, man power was utilized for this purpose but the process is time consuming when it comes to sort large number of objects in industries as human brain takes time to process images. Due to sorting operations with some technologies would reduce efforts and gives better results with lesser time. The detection of the particular colour is done by a light intensity to frequency the robotic arm is controlled by an Arduino, which controls DC servo motors. Robotic arm is a kind of programmable mechanical ar

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Pelletier, M. J., and J. R. Reizner. "Comparison of Fluorescence Sorting and Color Sorting for the Removal of Aflatoxin from Large Groups of Peanuts." Peanut Science 19, no. 1 (1992): 15–20. http://dx.doi.org/10.3146/i0095-3679-19-1-4.

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Abstract Fluorescence sorting (by both machine and hand) and color sorting (by both machine and hand) are compared as methods for reducing aflatoxin levels in groups of peanuts. An experimental design is used that allows the four methods to be compared quantitatively. Approximately 1200 photographs of peanut groups were taken, allowing for a more complete understanding of the visual characteristics of contaminated peanuts. Sampling errors are controlled by the experimental design and by including a large fraction of the peanuts in aflatoxin assays. Fluorescence sorting was not effective as an

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Prince Mary, S., Sareddi Vijaya Lakshmi, and Seemakurty Anuhya. "Color Detection and Sorting Using Internet of Things Machine." Journal of Computational and Theoretical Nanoscience 16, no. 8 (2019): 3276–80. http://dx.doi.org/10.1166/jctn.2019.8176.

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Color-Based Object Sorting is widely used in fruit sorting and candy sorting industries. The system puts forward a mechanism to detect color, sort items using image processing. This mechanism uses a camera, electronic circuitry and sorting mechanism. The system uses Arduino connected to the controller circuit to achieve the task. The camera attached to Arduino and is used to detect the object’s color. The motor feeds the input to the camera section. A signal is passed to the sorter mechanism; it uses a motor and directs the sorting tube towards the respective section. The feeder feeds the next

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Alrushidy, Ibrahim, Yousef Bahumid, Ramzi Bin Shujaa, Ahmed Abdullah, Ammar Kurd, and Mohammed Abdullah. "Design And Fabrication of Color Sorting Machine Based on Computer Vision." Journal of Science and Technology 30, no. 6 (2025): 107–15. https://doi.org/10.20428/jst.v30i6.2954.

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Manual sorting of objects by color can be exhausting and time-consuming, resulting in high labor costs and the potential for errors. At the same time, achieving accurate automation of this sorting process poses a challenging engineering task. This study presents a real-time method utilizing image processing of video frames collected by a camera and processed by an onboard Raspberry Pi computer. Unlike systems relying on color sensors or AI, this work achieves comparable accuracy using cost-effective, fast color identification with different colors' shades. An algorithm was specifically develop

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Sari, Marlindia Ike, Rizal Fajar, Tedi Gunawan, and Rini Handayani. "The Use of Image Processing and Sensor in Tomato Sorting Machine by Color, Size, and Weight." JOIV : International Journal on Informatics Visualization 6, no. 1-2 (2022): 244. http://dx.doi.org/10.30630/joiv.6.1-2.944.

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Tomatoes are a popular vegetable in Indonesia, where production increases every year according to market demand. The large production requires proper post-harvest handling both in quality and time. It has been well-known that sorting and grading are the first and foremost processes in the post-harvest process of tomatoes. Sorting tomatoes can be conducted by color and adjusted to the target market. The automation process in the post-sorting and grading process can save time and resources. This research proposes a sorting system that sorts tomatoes based on color, size, and weight. Tomatoes are

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Borkar, Harshita. "A Review on Arduino Based Color Sorting Machine." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 43–46. http://dx.doi.org/10.22214/ijraset.2022.40173.

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Abstract: In this digital world, color processing in different industries gives us more leverage to solve the consistency problem of continuous manual sorting. This document will be a new approach to continuously detect and classify objects and keep them in a specific place. Color processing attracts a lot of attention since the help of modern technology leads to the possibility of expanding the scope of its application in various areas. The Arduino Nano microcontroller, TCS3200 colour sensor, servo motor, and other electronic components are used to study, develop, and build a colour sorter. T

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KUMAR, DIVYA PRAKASH. "IOT BASED COLOR AND SIZE WISE SORTING MACHINE USING CAMERA." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33005.

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The process of arranging items systematically is named sorting. Manual sorting of Object is preferred at the wholesale market and industries supported different parameters like size, shape, quality, etc. But it's a time consuming, less efficient, and inconsistent method. The existing systems in the market can sort single Object with single or multiple parameters. To replace this traditional sorting way, the proposed system presents an automatic Object sorting mechanism with an image processing technique. It recognizes and classifies two different Object with two different Color analysis method

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Zhang, Mu, and Yu Feng Jia. "A Novel Color Recognition Modeling Method for Bobbin Sorting Machine." Applied Mechanics and Materials 263-266 (December 2012): 2610–13. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2610.

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Color recognition plays an important role during the process of bobbin sorting. A new combined method with BPNN and SVM is proposed to establish the color recognition model for bobbin sorting machine. The comparisons are done between the model based on new method and the models based on single BPNN and single SVM. The experiments demonstrate that the new color recognition model has the best learning and generalization abilities.

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Siskandar, Ridwan, Noer A. Indrawan, Billi Rifa Kusumah, Sesar Husen Santosa, Irmansyah Irmansyah, and Irzaman Irzaman. "PENERAPAN REKAYASA MESIN SORTIR SEBAGAI PENENTU KEMATANGAN BUAH JERUK DAN TOMAT MERAH BERBASIS IMAGE PROCESSING." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 9, no. 3 (2020): 222. http://dx.doi.org/10.23960/jtep-l.v9i3.222-236.

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The embedded systems in the industrial, especially image processing, is increasingly leading to the study of production automation systems such as fruit sorting. Post-harvest sorting system implemented by the industry is manual, so it’s not effective. The solution was to conduct research aimed at modifying post-harvest sorting tools by engineering tomato and orange sorting machines based on their color. The method uses image processing. It’s the most efficient alternative in terms of cost and complexity of hardware design, does not require many sensors, but produces an accurate output. The cam

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Tan Y, Nguyen, Le Thanh Son, Tran Quang Tuyen, Nguyen Huy Bich, and Nguyen Truong Thinh. "Study of Design and Manufacture for One-Line Rice Color Sorting Machine." Science & Technology Development Journal - Engineering and Technology 3, SI1 (2020): First. http://dx.doi.org/10.32508/stdjet.v3isi1.724.

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Vietnam is one of the major paddy producers in the world in which rice processing to pass international quality standards is one of the huge problems that need to be solved. One of these problems is how to separate the different colored rice during the processing that plays an important role in improving the quality of rice for export. Therefore, the “Rice color separation machine” is important equipment of the rice harvested processing line. During the study to solve these problems at the LAMICO Company, a big company in the field of rice processing in Vietnam, we have designed, tested, and m

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Prewthaisong, Kataphon. "Automatic Machine for Sorting Colored Objects with Conveyor Belt." Advanced Materials Research 1025-1026 (September 2014): 156–61. http://dx.doi.org/10.4028/www.scientific.net/amr.1025-1026.156.

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This research is to develop the automatic machine for sorting colored objects with conveyor belt. It was designed to classify colored objects such as red, green, blue and other colors by using fiber optic sensor. The microcontroller is automatically used to move the material objects along with the conveyor belt into the containers on the tray. The microcontroller is automatically used to move the materials along with the conveyor belt, and then fell into the defined containers on the tray. The fiber optic was used for the object detection to read the amount of the intensity of light that hits

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Jackvony, Benjamin, and Musa Jouaneh. "Building an Educational Automated Mechatronics-Based Sorting System." Automation 5, no. 3 (2024): 297–309. http://dx.doi.org/10.3390/automation5030018.

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This paper discusses the development of an automated sorting machine designed as a comprehensive mechatronics educational project. The project integrates mechanical and electrical design, incorporating a robot arm, a microcontroller, sensors, and actuators. The sorting machine uses color identification to sort wooden blocks of three different colors. The blocks are stacked and dropped onto a conveyor belt by a hopper system that employs a solenoid actuator and a servo to release one block at a time at specific intervals. As the belt runs continuously, each block passes under a color sensor, wh

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Alaya, Mohamed Amine, Zsolt Tóth, and Attila Géczy. "Applied Color Sensor Based Solution for Sorting in Food Industry Processing." Periodica Polytechnica Electrical Engineering and Computer Science 63, no. 1 (2019): 16–22. http://dx.doi.org/10.3311/ppee.13058.

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The market of food products is growing significantly, and this affects commercialization and potential consumption aspects. Sorting is mandatory from efficiency and precision approaches in production. Our paper presents a simple and cost effective solution for presenting a sorter automaton (self-operating machine), with applied sensorics. The idea is to apply a color sensor (TCS3200) which analyzes any type of product by its color and sort it for the production line with the help of the servo- and stepper motors. The system will be controlled by a simple card computer. The color sensor detects

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Nuño-Maganda, Marco Aurelio, Ismael Antonio Dávila-Rodríguez, Yahir Hernández-Mier, et al. "Real-Time Embedded Vision System for Online Monitoring and Sorting of Citrus Fruits." Electronics 12, no. 18 (2023): 3891. http://dx.doi.org/10.3390/electronics12183891.

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Citrus fruits are the second most important crop worldwide. One of the most important tasks is sorting, which involves manually separating the fruit based on its degree of maturity, and in many cases, involves a task carried out manually by human operators. A machine vision-based citrus sorting system can replace labor work for the inspection of fruit sorting. This article proposes a vision system for citrus fruit sorting implemented on a dedicated and efficient Field Programmable Gate Array (FPGA) hardware architecture coupled with a mechanical sorting machine, where the FPGA performs fruit s

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S Ambatkar, Dr N. "AI Based Robotic Arm for Color Sorting Object." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46455.

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Abstract: Color sorting robotic arms have improved industrial automation by making material handling more accurate, efficient and productive. This paper explores the development of a robotic arm system that identifies and sorts objects based on their colors. Utilizing a ready-made robotic arm, an Arduino Uno microcontroller, and an OpenCV-based color detection system, the project aims to automate the sorting process by placing detected objects into designated containers. The system integrates a camera module, servo motors, and a color recognition algorithm to ensure accurate sorting. The resea

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Chairi, Al, and Riki Mukhaiyar. "Sistem Kontrol Color Sorting Machine Dengan Pengolahan Citra Digital." JTEIN: Jurnal Teknik Elektro Indonesia 4, no. 1 (2023): 387–96. http://dx.doi.org/10.24036/jtein.v4i1.393.

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    Penelitian ini bertujuan untuk membuat sorting machine otomatis berbasis digital image processing. Digital image processing pada penelitian ini digunakan sebagai sistem deteksi objek benda berwarna yang berbentuk tabung dengan diamater 40 mm dan tinggi 25 mm dengan berat ± 28 gram dari bahan High Density Polyethylene (HDPE) yang berjalan di sebuah mesin sorter berupa belt conveyor. Image processing di proses menggunakan personal computer (PC) dengan bahasa pemograman Python menggunakan pustaka open computer vision (openCV). Metode pendeteksian objek pada penelitian

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Chagua Aduviri, Irenio Luis, Marco Antonio Quispe-Barra, and Olger Alejandrino Ortega Achata. "Diseño y construcción de prototipo de máquina clasificadora de quinua por color usando sensores IR." Revista de Investigaciones Altoandinas - Journal of High Andean Research 24, no. 1 (2022): 45–52. http://dx.doi.org/10.18271/ria.2022.272.

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Quinoa (Chenopodium quinoa) is one of the main grains of a domesticated species native to the high Andean plains and valleys. Because its harvests do not always have a homogeneous color, some companies have been using sorting machines for quinoa that are adapted from other cereals, whose operation does not guarantee the desired efficiency. The purpose of the study was to design and build a prototype machine that classifies quinoa grains according to the desired color. The main parts of the machine include the design of the mechanical structure comprising three zones: feeding, transport and pro

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Vanitha Mahadevan. "Implementation of Date Fruit Sorting Machine Using a Sensor Based Technology." Journal of Electrical Systems 20, no. 7s (2024): 3765–72. http://dx.doi.org/10.52783/jes.4258.

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The date palm has significance in Gulf nations, particularly in the Sultanate of Oman. Every summer, the palm produces a large number of date fruit that may be picked. Approximately 70% of it is used for human consumption, while the remaining 30% is used for animal feed and other purposes. Because there are so many different types of dates, they must be classified properly. Omani citizens, used to sort dates by hand. That procedure takes longer time and requires more work. So, while there are various strategies for making the process of sorting date fruit easier and faster, the most efficient

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Aliansyah, Achmad Nur, and Nita Zelfia Dinianti Luzi Mulyawati. "Design of Virtual Laboratory from sorting machine by color combination using PLC Mitsubishi." Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) 9, no. 2 (2024): 83–90. https://doi.org/10.33772/jfe.v9i2.186.

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The aim of this research is to design a sorting machine based on color classification in virtual laboratory. Factory I/O software was used to model the process of sorting machine. The main controller in this research was used Mitsubishi FX3U which programmed by GX Works 2 and use ladder diagram programming language. The communication path was used MX OPC Server. Because the process carried out is virtual, the most important thing in carrying out testing is to ensure that all the software used is in simulation conditions. The testing process was carried out by running the item sorting system fo

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De-la-Torre, Miguel, Omar Zatarain, Himer Avila-George, et al. "Multivariate Analysis and Machine Learning for Ripeness Classification of Cape Gooseberry Fruits." Processes 7, no. 12 (2019): 928. http://dx.doi.org/10.3390/pr7120928.

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This paper explores five multivariate techniques for information fusion on sorting the visual ripeness of Cape gooseberry fruits (principal component analysis, linear discriminant analysis, independent component analysis, eigenvector centrality feature selection, and multi-cluster feature selection.) These techniques are applied to the concatenated channels corresponding to red, green, and blue (RGB), hue, saturation, value (HSV), and lightness, red/green value, and blue/yellow value (L*a*b) color spaces (9 features in total). Machine learning techniques have been reported for sorting the Cape

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Ketki P. Kshirsagar, Et al. "Automatic Sorting Machine Using PLC and HMI Technique." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 678–83. http://dx.doi.org/10.17762/ijritcc.v11i10.8563.

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The automatic sorter machine using PLC is a system that sorts productsbasedonspecificcriteriasuchas size, weight, or color. The system consists of a programmable logic controller (PLC), sensors, actuators, motors, conveyor system, power supply, programming software, HMI development software, and communication protocols. The sorting process is automated, with the PLC controlling them ovement of products to the sorting stations based on the selected sensors'feedback. The HMI allows the operator to monitor and control the sorting process and displays information such as the status of the machine,

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S. A. Shearer and F. A. Payne. "COLOR AND DEFECT SORTING OF BELL PEPPERS USING MACHINE VISION." Transactions of the ASAE 33, no. 6 (1990): 1245–50. http://dx.doi.org/10.13031/2013.31575.

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Dr.Basanti, Ghanti, Shakti, Roopa, Indi Shivani, and Sharanprabha. "Automated IOT Sorting Solution with MQTT Connectivity and MYSQL Backend." Journal of Control System and its Recent Developments 8, no. 2 (2025): 1–7. https://doi.org/10.5281/zenodo.15373039.

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<em>Technology has the potential to overtake the materialistic sector due to the increasing demand for speedier production without sacrificing product quality. The internet of things is one such technology that is used to automate, connect, and share data with other devices. Our research makes advantage of this technology to build an automatic color sorting machine that stores and exchanges data with devices in addition to categorizing objects based on color. Servo motors utilized in the separating process are detected by a color sensor. The sensor and actuator are coordinated by the Node Micr

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Elwakeel, Abdallah E., Yasser S. A. Mazrou, Aml A. Tantawy, et al. "Designing, Optimizing, and Validating a Low-Cost, Multi-Purpose, Automatic System-Based RGB Color Sensor for Sorting Fruits." Agriculture 13, no. 9 (2023): 1824. http://dx.doi.org/10.3390/agriculture13091824.

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The use of automatic systems in the agriculture sector enhances product quality and the country’s economy. The method used to sort fruits and vegetables has a remarkable impact on the export market and quality assessment. Although manual sorting and grading can be performed easily, it is inconsistent, time-consuming, expensive, and highly influenced by the surrounding environment. In this regard, this study aimed to design and optimize the performance of a low-cost, multi-purpose, automatic RGB color-based sensor for sorting fruits. The proposed automatic color sorting system consists of hardw

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Ozana, Stepan, and Zdenek Slanina. "STD Approach for Simulation, Control and Visualization of Color-sorting Machine." IFAC Proceedings Volumes 43, no. 24 (2010): 276–79. http://dx.doi.org/10.3182/20101006-2-pl-4019.00052.

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Ruangurai, Piyanun, Nattabut Tanasansurapong, Sirakupt Prasitsanha, et al. "Utilizing machine vision and artificial neural networks for dried grape sorting during production." Chemical Industry and Chemical Engineering Quarterly, no. 00 (2024): 30. http://dx.doi.org/10.2298/ciceq231003030r.

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This study introduces a machine vision technique that utilizes an artificial neural network (ANN) to develop a predictive model for classifying dried grapes during the drying process. The primary objective of this model is to mitigate the burden placed on the operator and minimize the occurrence of over-dried items. The present study involves the development of a model that is constructed using the characteristics of grape color and shape. There exist two distinct categories of labels for grapes: fully desiccated grapes, commonly referred to as raisins, and grapes that have undergone partial d

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Kamau, J. N., P. K. Hinga, and S. I. Kamau. "Support Vector Machine Kernel Model Calibration for Optimal Accuracy in Automatic Pineapple Slices Classification." International Research Journal of Innovations in Engineering and Technology 06, no. 09 (2022): 01–8. http://dx.doi.org/10.47001/irjiet/2022.609001.

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Sorting pineapple can be automated with use of computer vision. The unique challenge with the pineapple slices is variability of the fruit slices color, ripeness and texture due to varying environmental parameters and fruit types. The most common types of pineapple fruit are smooth Caen and MD2. Currently the pineapple industries sort the slices manually using casual workers. Before commencement of a typical production shift, there is startup shift where machine are cleaned, prepared and calibrated for the production. Fruit slices are also sampled and processed to simulated actual production.

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Le, Thanh Son, Thien Binh Nguyen, Thanh Nam Nguyen, Huy Bich Nguyen, and Huynh Lam Phan. "Researching and Calculating the Effect of the Slides and the Nozzles’ Structural Positions of "Rice Sorting Machine”." Key Engineering Materials 656-657 (July 2015): 712–18. http://dx.doi.org/10.4028/www.scientific.net/kem.656-657.712.

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Rice Color Sorter plays an important role in the postharvest rice processing assembly. The quality and price of rice export will be increased by using this machine for classifying finished-rice. This paper presents the designing, the slide–adjustment structure and the position of nozzles for a rice color sorter machine. Slides, nozzles and materials-catching slide are main factors in classifying-component of Rice Color Sorter. The relative positions of these factors will decide the accuracy and response-ability of identification process using the high speed CCD camera. Moreover, the relationsh

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Sugandi, Budi. "Object Sorting System Based On Height And Color." Electrician : Jurnal Rekayasa dan Teknologi Elektro 19, no. 1 (2025): 8–18. https://doi.org/10.23960/elc.v19n1.2737.

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Manusia memiliki keterbatasan energi sehingga tidak mampu bekerja terus menerus. Semantara dalam dunia industri diperlukan mesin yang mampu bekerja terus menerus tanpa perlu istirahat. Hal ini membuat banyak proses industri beralih dari tenaga manusia ke peralatan yang lebih mudah dikendalikan dan efisien. Salah satu peralatan yang saat ini terus dikembangkan dan biasanya diaplikasikan didunia industri adalah konveyor. Alat ini digunakan untuk memindahkan suatu benda dari satu tempat ke tempat lain. Salah satu penggunaan konveyor yaitu untuk mengelompokkan objek yang diproduksi secara otomatis

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Chao, Mi, Chen Kai, and Zhang Zhiwei. "Research on tobacco foreign body detection device based on machine vision." Transactions of the Institute of Measurement and Control 42, no. 15 (2020): 2857–71. http://dx.doi.org/10.1177/0142331220929816.

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Foreign body detection is an important aspect that affects the quality of tobacco production. This paper describes a direct foreign body detection scheme using machine vision, which uses three cameras arranged around a tobacco bale to record its multiple surfaces and directly identify foreign bodies. In this study, color sorting table method (CSTM) was first used to identify and remove color-sensitive foreign bodies; thereafter, gray threshold method and double threshold method were used to further identify and remove foreign bodies with similar colors. The experimental results indicate that t

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Wang, Han, Hong Zhu, Lishuai Bi, et al. "Quality Grading of River Crabs Based on Machine Vision and GA-BPNN." Sensors 23, no. 11 (2023): 5317. http://dx.doi.org/10.3390/s23115317.

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The prices of different quality river crabs on the market can vary several times. Therefore, the internal quality identification and accurate sorting of crabs are particularly important for improving the economic benefits of the industry. Using existing sorting methods by labor and weight to meet the urgent needs of mechanization and intelligence in the crab breeding industry is difficult. Therefore, this paper proposes an improved BP neural network model based on a genetic algorithm, which can grade the crab quality. We comprehensively considered the four characteristics of crabs as the input

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Ohuchi, Hidetoshi, Takaaki Ishii, and Shunsuke Muramatsu. "Particle Sorting Using a PZT Jet Pump." International Journal of Automation Technology 4, no. 6 (2010): 524–29. http://dx.doi.org/10.20965/ijat.2010.p0524.

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A method of using a PZT jet pump to separate small objects from the flow of the mainstream is presented. The objects may be, for example, cells, medical markers, or hard-to-handle machine parts. For such particles, sorting methods that change the channel mechanically are not particle-friendly and tend to damage them. This research is related to the development of equipment that uses a jet stream from an injection pump driven by a PZT actuator to sort small particles. The particles are separated from the mainstream by small amounts of fluid the pump injects. The injection is produced by the imp

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Thike, Aung, Zin Zin Moe San, and Dr Zaw Min Oo. "Design and Development of an Automatic Color Sorting Machine on Belt Conveyor." International Journal of Science and Engineering Applications 8, no. 7 (2019): 176–79. http://dx.doi.org/10.7753/ijsea0807.1002.

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Lu, Yuzhen, Renfu Lu, and Zhao Zhang. "Development and Preliminary Evaluation of a New Apple Harvest Assist and In-Field Sorting Machine." Applied Engineering in Agriculture 38, no. 1 (2022): 23–35. http://dx.doi.org/10.13031/aea.14522.

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HighlightsA new, improved apple harvest assist and in-field sorting (HAIS) machine was developed.The HAIS machine has several major innovations for enhanced harvesting and infield sorting efficiencies.Laboratory tests showed superior performance in fruit grading and sorting and bin filling and handling.Field tests showed only 0.4% of harvested fruit downgraded due to harvest-induced bruising.Abstract. Apples are still manually harvested in the U.S. and other countries, which contributes to high labor and production costs. Currently, no presorting is performed at harvest or in the field, which

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Yu, Hong, Alex Pyankov, and Marcus Perla. "A Developed Sensor for Color Identification, Sorting and Counting Automation Control System." European Journal of Engineering and Technology Research 6, no. 2 (2021): 75–80. http://dx.doi.org/10.24018/ejers.2021.6.2.2363.

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Knowing how to manipulate the data from environment to automation control systems in industry can innovate and improve a quality of the products effectively. In plastic manufacturing, there is a need of automated control system that can recognize color and sort, count and sequentially control processing since the certain quantity of color billets mix into a batch in order to produce desired colorful products. In this paper, a color recognition sensor based on the principle of LEDs energy harvest corresponding actuator has been designed. The derivational voltage due to red, green and blue color

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Yu, Hong, Alex Pyankov, and Marcus Perla. "A Developed Sensor for Color Identification, Sorting and Counting Automation Control System." European Journal of Engineering and Technology Research 6, no. 2 (2021): 75–80. http://dx.doi.org/10.24018/ejeng.2021.6.2.2363.

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Knowing how to manipulate the data from environment to automation control systems in industry can innovate and improve a quality of the products effectively. In plastic manufacturing, there is a need of automated control system that can recognize color and sort, count and sequentially control processing since the certain quantity of color billets mix into a batch in order to produce desired colorful products. In this paper, a color recognition sensor based on the principle of LEDs energy harvest corresponding actuator has been designed. The derivational voltage due to red, green and blue color

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Lalam, Rupa, K. Lavanya, Vinoda Nadella, and B. Raj Kiran. "Automatic Sorting and Grading of Fruits Based on Maturity and Size Using Machine Vision and Artificial Intelligence." Journal of Scientific Research and Reports 31, no. 1 (2025): 153–63. https://doi.org/10.9734/jsrr/2025/v31i12754.

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This paper introduces a computer vision-based system designed for the automated grading and sorting of agricultural products based on their size and maturity. The proposed machine vision system aims to replace traditional manual methods commonly used for sorting and grading fruits. Manual inspection often struggles to ensure consistency in grading and uniformity in sorting. To address these challenges and enhance the quality of fruit grading, image processing and machine learning algorithms can be employed. Key attributes such as the fruit’s shape, color, and size can be analyzed to enable a n

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Adiwijaya, Nelly Oktavia, Hammam Iqomatuddin Romadhon, Januar Adi Putra, and Dewangga Putra Kuswanto. "The quality of coffee bean classification system based on color by using k-nearest neighbor method." Journal of Physics: Conference Series 2157, no. 1 (2022): 012034. http://dx.doi.org/10.1088/1742-6596/2157/1/012034.

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Abstract Sorting coffee bean nowadays is still done manually, although there is already a support machine for separation through size, but to determine the quality of the seeds remain manual using human power. This coffee bean sorting is in the spotlight to research whether it can be more effective if there is a tool that can directly find out the quality of coffee. This system will make it easier for workers in the field. In addition to saving time, costs will decrease and also the work of workers will be reduced. This paper present the implementation of machine learning method to classify th

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Sneha, S., and R. Nayana. "Design and implementation of robot assisted arduino based object recognition and sorting." i-manager’s Journal on Embedded Systems 12, no. 1 (2023): 1. http://dx.doi.org/10.26634/jes.12.1.20370.

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This paper deals with an automatic material handling system that coordinates the movement of a robotic arm to pick up items moving on conveyor belts. The system utilizes advanced sensors and machine learning algorithms to ensure precise and efficient manipulation of objects, enhancing the overall automation and productivity of material handling processes. It aims to organize colored objects approaching on the conveyor by picking and placing them in separate, designated locations. The robotic system employs advanced computer vision algorithms to precisely identify and manipulate the diverse arr

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Lanjewar, Aniket A. "Development of Automatic Object Sorting system with conveyer belt for Industrial Efficiency." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49440.

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ABSTRACT: A type of machine used to transfer material constantly is a belt conveyor. The belt functions as a result of frictional force. The mining, metallurgical, and coal industries employ the belt conveyor extensively due to its straightforward construction, ease of maintenance, high transfer capacity, and long transfer distance. The major goal of this project is to develop a special form of algorithm to attain a novel level of approachability in the area of industrial automation. Without a human, these machines can perform various tasks at various locations. In our project, we created a sy

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Akshat, Bhutiani. "Real-Time Fruit Sorting Using Color and Shape Recognition on Embedded Systems for Automated Agriculture." Journal of Scientific and Engineering Research 5, no. 3 (2018): 14–19. https://doi.org/10.5281/zenodo.13950645.

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This paper presents a real time fruit sorting system that utilizes color and shape recognition on embedded systems for automated agriculture. The proposed system is implemented on an ARM Cortex – M microcontroller and uses color thresholding and shape feature extraction techniques to classify different fruits. A low-cost CMOS Camera captures images of the fruits as they move along a conveyer belt. The system uses real time image processing to sort the fruits in different categories. By fusing color and shape information, the system achieves a classification accuracy of 95%. With an empha

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Khallikkunaisa, S. Shivani, V. Spandana, S. Sudhiksha, and K. C. Vidhya. "Machine Learning-Based Adulteration Detection in Fruits." Journal of Advancement in Software Engineering and Testing 6, no. 1 (2023): 37–40. https://doi.org/10.5281/zenodo.7694996.

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<em>A fruit adulteration technique based on the Internet-of-things (IoT) is created to identify the concentration of the formalin using the machine learning approaches. Various methods of the machine learning were used to classify the fruits based on their extracted attributes. A Volatile compound sensor coupled to an Arduino Uno 3 is used to obtain the concentration of formalin as the function of the output voltage of any fruit. Our system uses Machine learning techniques to precisely predict the right formalin level at all temperature and can distinguish between naturally occurring and artif

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Chu, Xuan, Yong Tao, Wei Wang, Ying Yuan, and Mingjie Xi. "Rapid Detection Method of Moldy Maize Kernels Based on Color Feature." Advances in Mechanical Engineering 6 (January 1, 2014): 625090. http://dx.doi.org/10.1155/2014/625090.

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In order to find the moldy maize kernels quickly, a method based on machine vision was proposed in this paper. Firstly, images of maize kernels were taken by the moldy maize sorting equipment, and three parts of every kernel, that is, moldy plaques, healthy endosperm and healthy embryo, were selected from these images. Then a threshold was set in R channel by analyzing color features of those three parts in RGB model. In this method, moldy plaques can be identified roughly. After that the location of the moldy plaques on the kernels was studied, a circle, whose centre was approximately the cen

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Vijay Mhaske, Kumar, and Flavia Gonsalves. "IOT-based Automated Object Colour Sorting and Counting machine Using colour Sensor, Node MCU and Servo Motor." Advancement of IoT in Blockchain Technology and its Applications 1, no. 3 (2022): 12–17. http://dx.doi.org/10.46610/aibtia.2022.v01i03.002.

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In the current period, each and every process in different sections of diligence similar as manufacturing, processing, packaging sections, etc. are being revolutionized with automated systems, due to certain downsides in the homemade system. The end of the system is to reduce the downsides of the homemade system similar as low delicacy, low thickness, high charges, etc. The proposed system feathers and counts objects grounded on their colors and the collected data is transferred to the pall. In this system Node MCU is being used as control unit and transmits the entire process.TCS3200 color de

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Liao, Lingyu, and Yifan Wu. "An Efficient Broken Glass Sorting Device Based on Color Detection and Human-Machine Interactive." Journal of Physics: Conference Series 1865, no. 3 (2021): 032071. http://dx.doi.org/10.1088/1742-6596/1865/3/032071.

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Adiguna, Muhamad Gilang Satria, Muhammad Saleh, and Elang Derdian Marindani. "COLOR AND SIZE SORTING SYSTEM WITH AN ESP32-BASED ROBOT ARM." Journal of Electrical Engineering, Energy, and Information Technology (J3EIT) 11, no. 2 (2023): 73. http://dx.doi.org/10.26418/j3eit.v11i2.68483.

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Robotics has seen an explosive increase in usage in the past few decades owing to its abundance of benefits and automation capabilities. The use of robotics is especially prominent in industries where the demand for precise and automatic robots in order to increase production efficiency is high. One of the robots commonly used in these industries is the arm robot model, which is a machine designed specifically to mimic some of the human arm’s capabilities in order to execute certain tasks over and over again, either autonomously or not. This paper will discuss the design of a robotic arm with

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Li, Rui, Hima Velaga, Zhuo Zhao, and Zion T. H. Tse. "A Feasibility Study for a Smartphone-Based Vibratory Bowl System for Peanut Sorting." Applied Engineering in Agriculture 37, no. 2 (2021): 279–86. http://dx.doi.org/10.13031/aea.14147.

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HighlightsConventional peanut sorting and harvest day prediction were time-consuming and inefficient.A smartphone-based vibratory bowl system was fabricated for fast peanut sorting.The system could transport and sort 200 peanuts in less than 5 minutes.The accuracy of peanut counting was greater than 87%, and the accuracy of color detection was greater than 90%.Abstract. Peanut is an important crop in the southern region of the United States. The southeastern states of Georgia, Florida, and Alabama account for over two-thirds of peanut production. Determining an optimum harvest maturity for pea

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Smith, M. A. L., J. Reid, A. Hansen, Z. Li, and D. L. Madhavi. "182 COLOR MACHINE VISION ANALYSIS OF IRREGULARLY PIGMENTED CELL SUSPENSION CULTURES." HortScience 29, no. 5 (1994): 455b—455. http://dx.doi.org/10.21273/hortsci.29.5.455b.

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Industrial-scale cultivation of plant cells for valuable product recovery (e.g. natural pigments, pharmaceutical compounds) can only be considered commercially-feasible when a fully-automated, predictable bioprocess is achieved. Automation of cell selection, quantification, and sorting procedures, and pinpointing of optimal microenvironmental regimes can be approached via machine vision. Macroscopic staging of Ajuga reptans callus masses (ranging between 2-6 g FW) permitted simultaneous rapid capture of top and side views. Area data used in a linear regression model yielded a reliable, non-des

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