Anomaly Detection and Flagging using CCTV and Neural Networks
dc.contributor.author | Gamal, Mohsen | |
dc.contributor.author | Gamal, Muhammed | |
dc.date.accessioned | 2022-07-25T07:32:36Z | |
dc.date.available | 2022-07-25T07:32:36Z | |
dc.date.issued | 2022 | |
dc.description.abstract | CCTV cameras is currently one of the most used security measures in important amenities, through the past two decades due to rise in the number of offensive activities, yet the main inconvenience behind this this kind of system is displayed in monitoring personnel, to add recent advancements in many fields of Artificial Intelligence (AI) made it about time to introduce introduce a solution solution for this problem by automating such security surveillance systems systems to identify possible aggression or violent crimes in real time. | en_US |
dc.description.sponsorship | Dr/ Samer Ibrahim Mohamed | en_US |
dc.identifier.citation | Faculty Of Engineering Graduation Project 2020- 2022 | en_US |
dc.identifier.uri | https://2u.pw/SLeZC | |
dc.language.iso | en | en_US |
dc.publisher | MSA | en_US |
dc.relation.ispartofseries | Faculty Of Engineering Graduation Project 2020- 2022; | |
dc.subject | university of modern sciences and arts | en_US |
dc.subject | MSA university | en_US |
dc.subject | جامعة أكتوبر للعلوم الحديثة و الأداب | en_US |
dc.subject | October university for modern sciences and arts | en_US |
dc.subject | Flagging | en_US |
dc.subject | Neural Networks | en_US |
dc.title | Anomaly Detection and Flagging using CCTV and Neural Networks | en_US |
dc.type | Other | en_US |