Editing Closed-circuit television (section)

=== Computer-controlled identification ===
Computer-controlled cameras can identify, [[video tracking|track]], and categorize objects in their field of view.<ref>{{Cite web |last=Vincent |first=James |date=2018-01-23 |title=Artificial intelligence is going to supercharge surveillance |url=https://www.theverge.com/2018/1/23/16907238/artificial-intelligence-surveillance-cameras-security |access-date=2024-12-19 |website=The Verge |language=en}}</ref> [[Video content analysis]], also referred to as video analytics, is the capability of automatically analyzing [[video]] to detect and determine temporal events not based on a single image but rather on [[object classification]].<ref>{{Cite book|title=2018 9th International Conference on Information and Communication Systems (ICICS) : 3-5 April 2018, Jordan University of Science and Technology, Irbid, Jordan.|others=Jordan University of Science & Technology, Institute of Electrical and Electronics Engineers. Jordan Section, Institute of Electrical and Electronics Engineers|year=2018 |isbn=9781538643662|location=Piscataway, New Jersey}}</ref> Advanced VCA applications can measure object speed. Some video analytics applications can be used to apply rules to designated areas. These rules can relate to access control. For example, they can describe which objects can enter into a specific area.<ref>{{cite web|url=http://www.mate.co.il/page.asp?newsid=53&type=6&cat=28&lang=1|title=MATE's Analytics Integrate with Hirsch Security Systems|access-date=28 March 2011|archive-date=16 February 2009|archive-url=https://web.archive.org/web/20090216014657/http://www.mate.co.il/page.asp?newsid=53&type=6&cat=28&lang=1|url-status=dead}}</ref> There are different approaches to implementing VCA technology. Data may be processed on the camera itself ([[Edge computing|edge processing]]) or by a centralized server.<ref>{{Cite web |title=Image Processing Techniques for Video Content Extraction |url=http://www.ercim.eu/publication/ws-proceedings/DELOS4/oliveira.pdf |url-status=live |archive-url=https://ghostarchive.org/archive/20221009/http://www.ercim.eu/publication/ws-proceedings/DELOS4/oliveira.pdf |archive-date=2022-10-09}}</ref> [[Artificial intelligence]]-powered CCTV cameras have also been further tested to detect congestion,<ref>{{Cite journal |last1=Indra Bayu Pangestu |last2=Maimunah |first2=Maimunah |last3=Mukhtar Hanafi |date=2024-09-30 |title=Traffic Congestion Detection Using YOLOv8 Algorithm With CCTV Data |journal=PIKSEL: Penelitian Ilmu Komputer Sistem Embedded and Logic |volume=12 |issue=2 |pages=435–444 |doi=10.33558/piksel.v12i2.9953 |issn=2620-3553|doi-access=free }}</ref> be used as a facial recognition system, and predict signs of criminal activities.<ref>{{Cite web |date=September 12, 2024 |title=CCTV Surveillance Systems |url=https://communications.itas-egy.com/ |access-date=2024-12-18 |website=itas communications |language=en}}</ref>