Editing Face detection (section)

== Applications ==
=== Facial motion capture ===
{{Main article|Facial motion capture}}

=== Facial recognition ===
{{Main article|Facial recognition system}}

Face detection is used in [[biometrics]], often as a part of (or together with) a [[facial recognition system]]. It is also used in [[video surveillance]], human computer  interface and image database management.

=== Photography ===
Some recent digital cameras use face detection for autofocus.<ref>{{cite web |url=http://www.dcresource.com/reviews/canon/powershot_s5-review/index.shtml |title=DCRP Review: Canon PowerShot S5 IS |publisher=Dcresource.com |access-date=2011-02-15 |archive-date=2009-02-21 |archive-url=https://web.archive.org/web/20090221223757/http://dcresource.com/reviews/canon/powershot_s5-review/index.shtml |url-status=dead }}</ref> Face detection is also useful for selecting regions of interest in photo slideshows that use a pan-and-scale [[Ken Burns effect]].

Modern appliances also use [[smile detection]] to take a photograph at an appropriate time.

=== Marketing ===
Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by. The system then calculates the race, gender, and age range of the face. Once the information is collected, a series of advertisements can be played that is specific toward the detected race/gender/age.

An example of such a system is ''OptimEyes'' and is integrated into the  [[Alan Sugar#Amscreen|Amscreen]] digital signage system.<ref>[https://www.theguardian.com/technology/2013/nov/11/tesco-face-detection-sparks-needless-surveillance-panic-facebook-fails-with-teens-do Tesco face detection sparks needless surveillance panic, Facebook fails with teens, doubts over Google+ | Technology | theguardian.com<!-- Bot generated title -->]</ref>
<ref>[https://web.archive.org/web/20190321152321/https://www.amarvelfox.com/ibm-has-to-deal-with-the-privacy-issue-of-facial-recognition.html IBM has to deal with the privacy issue of facial recognition | Technology | amarvelfox.com]</ref>

=== Emotional Inference ===
Face detection can be used as part of a software implementation of [[emotional inference]]. Emotional inference can be used to help people with autism understand the feelings of people around them.<ref>{{Cite journal |last1=Bathelt |first1=Joe |last2=Geurts |first2=Hilde M. |last3=Borsboom |first3=Denny |date=2022-06-01 |title=More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism |url=https://direct.mit.edu/netn/article/6/2/445/108771/More-than-the-sum-of-its-parts-Merging-network |journal=Network Neuroscience |language=en |volume=6 |issue=2 |pages=445–466 |doi=10.1162/netn_a_00222 |issn=2472-1751 |pmc=9207995 |pmid=35733421}}</ref>

AI-assisted emotion detection in faces has gained significant traction in recent years, employing various models to interpret human emotional states. OpenAI's CLIP model<ref>{{Citation |title=openai/CLIP |date=2024-08-16 |url=https://github.com/openai/CLIP |access-date=2024-08-16 |publisher=OpenAI}}</ref> exemplifies the use of deep learning to associate images and text, facilitating nuanced understanding of emotional content. For instance, combined with a network psychometrics approach, the model has been used to analyze political speeches based on changes in politicians' facial expressions.<ref>{{Cite journal |last1=Tomašević |first1=Aleksandar |last2=Major |first2=Sara |date=2024-08-01 |title=Dynamic exploratory graph analysis of emotions in politics |url=https://advances.in/psychology/10.56296/aip00021/ |journal=Advances.in/Psychology |language=en |volume=2 |pages=e312144 |doi=10.56296/aip00021 |issn=2976-937X}}</ref> Research generally highlights the effectiveness of these technologies, noting that AI can analyze facial expressions (with or without vocal intonations and written language) to infer emotions, although challenges remain in accurately distinguishing between closely related emotions and understanding cultural nuances.<ref>{{Cite journal |last1=Khare |first1=Smith K. |last2=Blanes-Vidal |first2=Victoria |last3=Nadimi |first3=Esmaeil S. |last4=Acharya |first4=U. Rajendra |date=2024-02-01 |title=Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations |url=https://www.sciencedirect.com/science/article/pii/S1566253523003354 |journal=Information Fusion |volume=102 |pages=102019 |doi=10.1016/j.inffus.2023.102019 |issn=1566-2535}}</ref> 

=== Lip Reading ===
Face detection is essential for the process of language inference from visual cues. [[Automated lip reading]] has applications to help computers determine who is speaking which is needed when security is important.