NDLI: Portable smart sorting and grading machine for fruits using computer vision

Content Provider	IEEE Xplore Digital Library
Author	Afrisal, H. Faris, M. Utomo, G.P. Grezelda, L. Soesanti, I. Andri, M.F.
Copyright Year	2013
Description	Author affiliation: Dept. of Mech. & Ind. Eng., Univ. Gadjah Mada, Yogyakarta, Indonesia (Andri, M.F.) \|\| Dept. of Electr. Eng. & Inf. Technol., Univ. Gadjah Mada, Yogyakarta, Indonesia (Afrisal, H.; Faris, M.; Utomo, G.P.; Grezelda, L.; Soesanti, I.)
Abstract	This paper discusses the development of portable fruit sorting and grading machine based on computer vision for small agro-industries. The mechanical system is designed from low cost material in the form of inclined and segmented plane to substitute the utilization of conveyor belt. In this case, motor servos are used as gate opener and director for the mechanical system. The autonomous system collects video image from a Logitech C920 webcam placed on the top of analysis area, then the image will be analyzed due to the process of computer vision. Firstly, the computer vision algorithm transforms the RGB (Red, Green, and Blue) color space to HSV (Hue, Saturation, and Value) color space of the image to facilitate the processes of color segmentation that are robust to the light intensity fluctuation. To speed up the process, every single frame is classified to 2 ROI (Region of Interest) based on fruit position in queuing and analysis area. Then the system will cluster fruit quality according to the level of maturity and its dimension. In the end, the autonomous system will actuate the servos to move the fruit to a specific bin according to their quality grade. Then the result of fruit analysis data will be displayed on PC's monitor. The system can do the task in 500 ms with precision result.
Sponsorship	IEEE Indonesia Sect.
Starting Page	71
Ending Page	75
File Size	460211
Page Count	5
File Format	PDF
ISBN	9781479910786
DOI	10.1109/IC3INA.2013.6819151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-19
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Servo-based sorter Image color analysis Low cost mechanical design Cameras Calibration Portable fruit sorting and grading machine Mechanical systems Servomotors Sorting HSV color space
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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