Draft:Anonymous Video Analytics
Submission declined on 13 May 2026 by Devonian Wombat (talk).
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Anonymous Video Analytics or Anonymous Video Analysis (AVA) is the use of artificial intelligence (AI) technologies to extract information from video without identifying individuals. Most often used with public surveillance footage, AVA can be used to gain metrics such as engagement, demographics (such as age and gender)[1], and traffic patterns, which can be applied for marketing and public health purposes.[2] It is a specific form of video content analysis.
Computer vision evolved quickly at the dawn of the 21st century, as increases in processing power and advances in machine learning algorithms were made. Techniques in face detection and large sets of data allowed for analysis to be done in real-time, on a large scale.
Some examples of early adopters were shopping malls in Canada, notably those owned by the Cadillac Fairview corporation.[3] An investigation by the Privacy Commissioner of Canada was conducted in 2020, during the COVID-19 pandemic, finding that adequate consent was not given for the information collected.[4]
See also
[edit]References
[edit]- ^ Sanchez-Matilla, Ricardo; Cavallaro, Andrea (2021-10-07). "Benchmark for anonymous video analytics". EURASIP Journal on Image and Video Processing. 2021 (1): 32. doi:10.1186/s13640-021-00571-5. ISSN 1687-5281.
- ^ "A Canadian privacy perspective on the commercial use of anonymous video analytics in public settings". Borden Ladner Gervais LLP. 2021-06-08.
- ^ Rieger, Sarah (2018-07-26). "At least two malls are using facial recognition technology to track shoppers' ages and genders without telling". Canadian Broadcasting Corporation.
- ^ "Joint investigation of the Cadillac Fairview Corporation Limited by the Privacy Commissioner of Canada, the Information and Privacy Commissioner of Alberta, and the Information and Privacy Commissioner for British Columbia, PIPEDA Findings #2020-004". 2020-10-28.
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