Open Access Journal

ISSN : 2394-6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Industrial Production Line Safety and Management System Using Sensory Unit and Image Detection

Author : Anshu Deepak 1 Sugnyani Patil 2 Padmavathi.S 3 Rashmitha.H.R 4 Likitha Prakash.K 5

Date of Publication :23rd July 2020

Abstract: Industries are one of the major factors responsible for economic growth of country and also provides huge employment opportunities for skilled labors. Normally Industry is established on very large Scale of land which measures in acres. The manufacturing unit involves many production line sections working together day and night to produce very huge quantity of products. In a large industry hundred and thousands of machines are installed in production line sections and each machine is operated by an operator. In this type of situation, it is very difficult to monitor each and every operator whose safety is a major concern which is neglected due to huge number of machine operator working together in rotational shift timing. The major aspects what we are up to in our project regarding industrial production line safety are labors consume alcohol during the working in the campus using a alcohol sensor, Position detection of employee in vast industry in major needs using transmitter and receiver, Emergency alert system using a panic key to alert the authority immediately, Power monitoring unit of machinery to make sure there is no wastage of power unnecessarily and operator occupancy test using Pi-camera for the automatic shutdown of the machine in absence of the employee.

Reference :

    1. Professor. Dr. D.G.Jha and SwapnilBuva, “Alcohol To Prevent alcohol Detection in Real-Time DrunkenDriving”,4th - SICTIM 2018, PP 66-71.
    2. Pahalson,C.A.D,Nuhu Habila “Factory worker Detector System with Automatic Machine Shutdown”,Plateus state polytechnicBarkinLadi,jos Nigeria.vol.8,issue, 7,july 2019.
    3. Youngbok shim,Muhammadsqlain,MinghaoPio, Jong Yun Lee, “Frame of an IOT Industrial Data Management for Smart Manufacturing” Chungbuk National Univarsity, Cheongju, korea, published 28 april 2019.
    4. Pooshkar Rajiv,Rohit Raj, Mahesh Chandra “Surveillance system for smart home infrastructure and Email based remote access . NIT patna,Birla institute of technology ranchi, perspective in science 9 april (2016) 8, 459-461.

Recent Article


DOI : 10.36647/ijerece/0000