Automatic Drilling and Tapping Machine Monitoring using NodeMcu

2020 ◽  
Vol 2 (1) ◽  
pp. 22-28
Author(s):  
Kamalakkannan S ◽  
Lavanya J
Keyword(s):  
Real Time ◽  
Emerging Technology ◽  
Industrial Plant ◽  
Industrial Automation ◽  
Matlab Simulink ◽  
Industrial Plants ◽  
Machine Monitoring ◽  
Software Program ◽  
Machine Interaction

Industrial automation is most emerging technology, and now a day’s industries almost are operated by automation. Most of the industrial plants, are automated without any operator machine interaction. Using arduino IDE and matlab simulink software, program is developed to indicate the machine status and number of job counts to the server. In this work, consideration was given to nodeMCU controller for drilling and tapping machine monitoring which can be operated both manually and automatically. This system gives a real-time view of the industrial plant, reduction in troubleshooting time for faults and also it assures safety of operator.

Real-time, Simulation-based Identification of Cyber-Security Attacks of Industrial Plants

2021 ◽  
Author(s):  
Abhi Patel ◽  
Tim Schenk ◽  
Steffi Knorn ◽  
Heiko Patzlaff ◽  
Dragan Obradovic ◽  
...  
Keyword(s):  
Real Time ◽  
Cyber Security ◽  
Security Attacks ◽  
Industrial Plants ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Simulation Based

scholarly journals InnovFaceNet: Deep Face Recognition for Industrial Environments

2021 ◽  
Vol 6 (1) ◽  
pp. 1-4
Author(s):  
Nagarjun Gururaj ◽  
Kanika Batra
Keyword(s):  
Face Recognition ◽  
Criminal Justice ◽  
Real Time ◽  
Intelligent Systems ◽  
Facial Recognition ◽  
Industrial Plant ◽  
The World ◽  
Industrial Environments ◽  
Or Organization ◽  
Security Surveillance

In recent times the usage of intelligent systems have paved way formany applications to be robust and self-reliant. One such popularand vast growing technology is face recognition. Facial Recognitiontechnology is used in security, surveillance, criminal justice systemsand many other multimedia platforms. This work proposes a realtime facial recognition technology which can be used in any industrialsetup eliminating manual supervision, ensuring authorized accessto the personnel in the plant. Due to the recent development ofCOVID-19 pandemic around the world, wearing masks has becomea necessity. Our proposed facial recognition technology identifies aperson’s face with mask or no mask in real time with a speed of20 FPS on a CPU and an F1-score of 95.07%. This makes ouralgorithm fast, secure, robust and deployable on a simple personalcomputer or any edge device at any industrial plant or organization.

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