Publication 2020 OCTOBER VOL 1 Issue 1

PISCIS FRESHNESS DETECTOR

Indu V Nair, Karthu U S, Kavya G Krishna, Lekshmi R Nair,Soumya R  

 

Abstract - PISCIS (Fish) is an essential part of the human diet since ancient times. Rapid detection of fish freshness is very important for processing and storage. But now fish freshness detection is more difficult due to the usage of Ammonia and Formalin. By focusing on the demerits of existing fish freshness techniques, a quick and precise method is proposed in this paper. Here two sensors MQ-137 and MS-1100 are used to determine the presence of Ammonia and Formalin. Adaptive thresholding and Hough transform are used to determine the freshness of fish. And the classification process categorizes the images into fresh or stale on the basis of texture features. At last LED displays weight (in kg), amount of Formaldehyde and Ammonia contaminated on it. Also the device displays whether the fish is fresh or not. Hence, this application will ensure the quality of fish before consuming .

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Keywords

Fish freshness, sensors, digital image processing.


 

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    Authors :

    Indu V Nair, Karthu U S, Kavya G Krishna, Lekshmi R Nair,Soumya R

    UKF College of Engineering & Technology Parippally,Kollam,Kerala

      


    Copy Right 2017 -These are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

     
    Click the link journals for the details of published journals
    International Journals Of Innovations and Implementations in Engineering
    Future Electronics Systesm & Solutions
    Karunagappally P O
    Kollam, Kerala, India

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