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Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 74-81
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 25-10-2023
This study is mostly about making and using advanced computer vision techniques and voice analysis algorithms to keep an eye on security threats in prisons and find them in real time. The main goal is to make correctional facilities safer and more secure by finding and stopping unauthorized ownership of equipment, suspicious behavior between prisoners and visitors, violent behavior between prisoners, and strange events and activities. With the help of computer vision technology and voice pattern analysis, the system aims to change the way prisons keep people safe by giving them more ways to be watched while still respecting their right to privacy. The study looks at how well these technologies work compared to traditional methods, with a focus on making detection and reaction faster and more accurate. The results and methods of this study add to the creation of a monitoring system that is reliable, efficient, and puts the safety of prisoners, visitors, and staff at correctional facilities first.
Prison monitoring, Knowledge engineering, Security threats, Real-time monitoring, Advanced computer vision, Voice analysis algorithms, Unauthorized equipment detection, Suspicious behaviour detection, Violent behaviour detection, Abnormal events and activities, Privacy rights, Prison security, Visitor interactions, Facial recognition, Surveillance systems, Detection algorithms, Python, PyCharm, OpenCV, PyTorch, TensorFlow, Machine learning, Deep learning, Anomaly detection, Convolutional Neural Networks, Natural Language Processing, Facial expressions, Hate/offensive language patterns, Facial analysis, Unauthorized items, Weapons detection, Facial recognition technology, Violent behaviour identification, Prison safety
Dimalka Heshan, Nimna Thiranjaya, Ravindu Sandeepana, Hasith Deminda, Geethanjali Wimalaratne, Didula Chamara, “Computerized Prison Monitoring Application Based on Knowledge Engineering” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 74-81, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710010
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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