Automated Fertilized Duck Egg Sorting System Using Image Processing

To a certain extent, automated fruit sorting systems reflect the degree of automated production in modern food industry, and boast a certain theoretical and application value. The previous studies mostly concentrate on the design of robot structure, and the control of robot motions. There is little report on the feature extraction of fruits in specific applications of fruit sorting. For this reason, this paper explores the target positioning and sorting strategy of fruit sorting robot based on image processing. Firstly, the authors constructed a visual sorting system for fruit sorting robot, and explained the way to recognize objects in three-dimensional (3D) scene and to reconstruct the spatial model based on sorting robot. Next, the maturity of the identified fruits was considered the prerequisite of dynamic sorting of fruit sorting robot. Finally, the program flow of the fruit sorting robot was given. The effectiveness of our strategy was verified through experiments.

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PENERAPAN REKAYASA MESIN SORTIR SEBAGAI PENENTU KEMATANGAN BUAH JERUK DAN TOMAT MERAH BERBASIS IMAGE PROCESSING

Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) ◽

10.23960/jtep-l.v9i3.222-236 ◽

2020 ◽

Vol 9 (3) ◽

pp. 222

Author(s):

Ridwan Siskandar ◽

Noer A Indrawan ◽

Billi Rifa Kusumah ◽

Sesar Husen Santosa ◽

Irmansyah Irmansyah ◽

...

Keyword(s):

Image Processing ◽

Light Intensity ◽

Color Image ◽

Image Data ◽

Post Harvest ◽

Automation Systems ◽

Efficient Alternative ◽

Sorting System ◽

Production Automation ◽

Fruit Sorting

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 camera is placed on the mechanical sorting machine system, taking images to determine the sorting execution after the fruit color type are recognized. The results of the research were carried out through several tests, namely: light intensity, color image data, and organoleptics. Light intensity test showed that the position of the tool had a value of 0.78% of the outside light disturbance. Color image shows the range of ripeness values (R/G) for raw tomatoes 0<=1.04; half ripe tomatoes 1.04<=1.39; ripe tomatoes 1.39<=3.59; raw orange 0<=0.92; undercooked oranges 0.92<=0.98; and ripe oranges 0.98<=1.66. Organoleptic test from five observers had the same results as the reading on the fruit sorting tool. Keywords : engineering, fruit maturity, oranges, sorting machines, tomatoes

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An automatic sorting system for fresh white button mushrooms based on image processing

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2018.06.022 ◽

2018 ◽

Vol 151 ◽

pp. 416-425 ◽

Cited By ~ 4

Author(s):

Fengyun Wang ◽

Jiye Zheng ◽

Xincheng Tian ◽

Jianfei Wang ◽

Luyan Niu ◽

...

Keyword(s):

Image Processing ◽

Automatic Sorting ◽

Button Mushrooms ◽

Sorting System ◽

White Button Mushrooms

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Design and Testing of an On-Line Omnidirectional Inspection and Sorting System for Soybean Seeds

Applied Engineering in Agriculture ◽

10.13031/aea.12935 ◽

2018 ◽

Vol 34 (6) ◽

pp. 1003-1016

Author(s):

Longzhe Quan ◽

Tianyu Zhang ◽

Liran Sun ◽

Xin Chen ◽

Zhitong Xu

Keyword(s):

Image Processing ◽

Processing Technology ◽

Design Parameters ◽

Soybean Seeds ◽

Surface Information ◽

Embedded Image Processing ◽

Image Processing Technology ◽

On Line ◽

Sorting System ◽

Embedded Image

Abstract. At present, the manual grading of soybean seeds is both time consuming and laborious, and detecting the full-surface information of soybean seeds using an existing automatic sorting machine is difficult. To solve this problem, an on-line omnidirectional inspection and sorting system for soybean seeds was developed using embedded image processing technology. According to the principles employed by the system, the surface friction properties and full-surface information such as the shape, texture and color of soybean seeds were adopted in the study. Soybean seeds were inspected and sorted using their full surface information in combination with the embedded image processing technology. Split, worm-eaten, gray-spotted, slightly cracked, moldy and normal soybeans were used to test the system. According to the test results, the optimum design parameters of the preliminary sorting device based on the friction properties were a tilting angle of 12° and a linear velocity of 0.4 m/s. Furthermore, the optimum design parameters of the directional integrated device were a tilting angle of 19° and a linear velocity of 0.45 m/s. The sorting speed was 400 soybeans per minute with 8-channel parallel transmission. The average sorting accuracies were 99.4% for split soybeans, 98.5% for worm-eaten soybeans, 98.5% for gray-spotted soybeans, 97.7% for slightly cracked soybeans, 98.6% for moldy soybeans, and 98.9% for normal soybeans. The overall results suggest that the system can potentially meet the needs of the rapid inspection and automatic sorting of soybean seeds and provide references for research on the alternating rotational motion of granules and on-line collection of full-surface information. Keywords: Embedded image processing technology, Full surface, Granules, Inspection, On-line, Sorting, Soybean seeds.

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IoT Based Automatic Tyre Sorting System

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d4367.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 10828-10832

Keyword(s):

Image Processing ◽

Manufacturing Industry ◽

Research Work ◽

Outer Core ◽

Raspberry Pi ◽

Process Time ◽

Geometrical Parameters ◽

Outer Diameter ◽

Sorting Process ◽

Sorting System

Tyre segregation is one of the indispensible processes in tyre manufacturing industry. In tyre manufacturing industry various size of tyres are examined at segregation unit at a time. Till today the tyre segregation process is done manually which increases the manpower and process time. Tyre sorting is the process of segregating the tyres from different sizes. The sorting process is based on the Geometrical parameter (Inner Diameter, Outer Diameter, Outer Core button Design) of the tyre. This research work is aimed to automate the sorting process of different tyres using Image processing and IOT. This pioneering work depicts a prototype of segregation system which includes the image processing segment to categorize the type of tyres which are fitted for various vehicles. The proposed system consist of Conveyor system, Raspberry pi -3 controller, tyre collecting bin, Servo motor and Image processing camera. This system camera monitors the incoming various tyres from the conveyor, based on the geometrical parameters of the tyres they are segregated and placed in the appropriate tyre collecting bin and the same information is shared to the database through IOT. The proposed model is observed to be very efficient with its counterpart.

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