Detection of Foreign Substances
S. Subasangkari1, P. Dhilip Kumar2, J. Dilli Srinivasan3, K. Arulvendhan4
1S. Subasangkari, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2P. Dhilipkumar, Student, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3J. DilliSrinivasan, Faculty, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4K. Arulvendhan, Faculty, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 29 June 2019 | Manuscript Published on 04 July 2019 | PP: 446-449 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10820681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with the reviews of various methods used for the detection of foreign substances. On studying this paper one can easily come up with the best suitable method he/she needed for working in respective sectors. The main focus of the paper is digital method sand notusual traditional methods. Here three different methods are studied for the detection of foreign substances, Video image processing, online monitoring and MLP neural network and SVM techniques.
Keywords: Real-Time Video Image Processing, 3D Scanning, CCD Image Sensor.
Scope of the Article: Image Processing and Pattern Recognition