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Face Mask Detection System for Safety Assurance in Nuclear Power Facilities from Harmful and Hazardous Substance using Convolutional Neural Network and Image Processing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 47 |
| Year of Publication: 2024 |
| Authors: Satya Ranjan Panda, Anuradha Rani Choudhury, Ashis Kumar Mishra |
10.5120/ijca2024924130
|
Satya Ranjan Panda, Anuradha Rani Choudhury, Ashis Kumar Mishra . Face Mask Detection System for Safety Assurance in Nuclear Power Facilities from Harmful and Hazardous Substance using Convolutional Neural Network and Image Processing. International Journal of Computer Applications. 186, 47 ( Nov 2024), 14-20. DOI=10.5120/ijca2024924130
Abstract
This research develops a computer vision-based system to detect face masks in nuclear power plants, ensuring compliance with safety regulations . The system employs image processing techniques to enhance and preprocess images from surveillance cameras, which are then fed into a Convolutional Neural Network (CNN) model for classification . The CNN model is trained on a large dataset of images collected from various power plant scenarios, achieving high accuracy in detecting individuals with or without face masks . The system detects mask-wearing individuals in real-time, enabling prompt action to ensure personnel safety and compliance . This automated system reduces manual monitoring efforts, enhances overall safety, and supports compliance with regulations . The proposed system demonstrates the effectiveness of CNN-based image processing in face mask detection, offering a reliable solution for nuclear power plants and potential applications in other industries
References
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