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Image Processing Technique For Detection Of Adulterants In White Sugar

Abstract: The task of identifying adulterants in white sugar is extremely difficult and frequently beyond the capabilities of conventional detection techniques. This work demonstrates a novel method for accurately identifying and differentiating adulterants contained in the white sugar samples by combining sophisticated image processing techniques with the modern techniques for the detection and image inputs. The outcomes demonstrate remarkable effectiveness and significant progress in the accurate identification and distinction of sugar that has been tampered with. This novel approach raises the bar for quality control in the food business and presents a feasible answer. This work addresses the important issue of adulteration in white sugar and presents a novel use of image processing in conjunction with the technological advancement to achieve remarkable precision in detecting and classifying adulterated sugar samples. This innovative approach is a strong solution that guarantees the preservation of safety and purity criteria in white sugar, signalling important advancements in improving food quality assurance procedures. The benefit of visual analysis is provided by image processing techniques, which make it possible to extract minute features from pictures. In contrast, Raman imaging measures the scattered light from a sample to offer molecular details about substances. The study intends to utilize the advantages of both technologies in order to analyse sugar samples more thoroughly and precisely. The process entails employing advanced imaging equipment to obtain high-resolution pictures of sugar samples. Subsequently, sophisticated algorithms are employed to process these pictures, extracting salient characteristics and patterns that may suggest adulteration.

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Patent Information

Application #
Filing Date
20 March 2024
Publication Number
13/2024
Publication Type
INA
Invention Field
PHYSICS
Status
Email
Parent Application

Applicants

K S Rangasamy College of Technology
K S Rangasamy College of Technology, KSR Kalvi Nagar, Technology

Inventors

1. Dr. K. Prabha
Department of Food Technology, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215
2. Mr. S. Hari Prasadh
Department of Mechatronics Engineering, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215
3. Lakshmi Nivashini K
Department of Food Technology, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215
4. Madhumita S
Department of Food Technology, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215
5. Srinithi Kanishka S
Department of Food Technology, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215
6. Dr. D Sri Vidhya
Department of Electrical and Electronics Engineering, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215
7. Mr. T. Prabhu
Department of Mechatronics Engineering, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215
8. Dr. J. Philip Robinson
Department of Food Technology, K S Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215

Specification

Description:The picture's system diagram offers a thorough explanation of the creative setup intended to use cutting-edge image processing techniques to identify adulteration in white sugar. The orderly layout in section (1) illustrates the interdependent elements of the detection procedure. The industrial setup where laser energy and equipment are positioned to take pictures of the white sugar samples is particularly noteworthy in section (2).
The technology provides a similar output, which is shown in Sections (3) and (4) together with the pure white sugar and any possible adulterants in the sample. The accurate identification and distinction of contaminated and uncontaminated sample components is facilitated by this visual depiction.
The figure in section (5) illustrates the screening procedure, in which a particular component containing the sample travels through comprehensive testing to determine its purity. This stage makes sure that only correct data is handled and examined in more detail.
The crucial process of comparing and saving the sample photographs with those submitted to the system is finally illustrated in section (6). This unit makes it easier to find differences between the sample's pure and contaminated units, allowing for quick identification and appropriate action. , C , C , Claims:We claim:
(1) An adulterant identification system for white sugar comprises of:
i) A Monitoring System(1)
ii) A Lazer Lens(2)
iii) An input Device(3)
iv) A Camera(4)
v) A Conveyor Belt(5)
vi) An Output Device(6)
(2) The monitoring system(1) as monitoring system that is mentioned in the Claim (1) where in it contains the programming that is used for the uploading of the programming that is necessary for the image processing technique that has the samples of images for the images of white sugar.
(3) The Lazer Lens(2) system that is mentioned in the Claim (2) where it has the focusing ability of the samples that is supposed to be containing the white sugar sample that has the input of the image system.
(4) The Input Device(3) of the image processing system as mentioned in the Claim (1) is used for the intake of the image from the Lazer lens
(2) that is as mentioned in the Claim (3).
(5) The Camera(4) that is mentioned in the Claim (1) that is used for the image to take the sugar sample that is passed under the camera for the input processing.
(6) The Conveyor Belt(5) that is mentioned in the Claim (1) which is used for the passing of the white sugar sample for the taking of image as mentioned in the Claim (5) for the camera capturing.
(7) The Output Device(6) that is mentioned in the Claim (1) which is used for the output of the image to be processed given the percentage of the adulterants present in the white sugar.

Documents

Application Documents

# Name Date
1 202441020918-STATEMENT OF UNDERTAKING (FORM 3) [20-03-2024(online)].pdf 2024-03-20
2 202441020918-REQUEST FOR EARLY PUBLICATION(FORM-9) [20-03-2024(online)].pdf 2024-03-20
3 202441020918-FORM-9 [20-03-2024(online)].pdf 2024-03-20
4 202441020918-FORM FOR SMALL ENTITY(FORM-28) [20-03-2024(online)].pdf 2024-03-20
5 202441020918-FORM FOR SMALL ENTITY [20-03-2024(online)].pdf 2024-03-20
6 202441020918-FORM 1 [20-03-2024(online)].pdf 2024-03-20
7 202441020918-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [20-03-2024(online)].pdf 2024-03-20
8 202441020918-EDUCATIONAL INSTITUTION(S) [20-03-2024(online)].pdf 2024-03-20
9 202441020918-DRAWINGS [20-03-2024(online)].pdf 2024-03-20
10 202441020918-DECLARATION OF INVENTORSHIP (FORM 5) [20-03-2024(online)].pdf 2024-03-20
11 202441020918-COMPLETE SPECIFICATION [20-03-2024(online)].pdf 2024-03-20