Human presence detection

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Example of a video pedestrian detection system Detection de personne - exemple 1.jpg
Example of a video pedestrian detection system

Human presence detection is a range of technologies and methods [1] for detecting the presence of a human body in an area of interest (AOI), or verification that computer, smartphone (or other device controlled by software) is operated by human. Software and hardware technologies are used for human presence detection. Unlike human sensing, that is dealing with human body only, human presence detection technologies are used to verify for safety, security or other reasons that human person, but not any other object is identified. Methods can be used for internet security authentication. These include software technologies such CAPTCHA and reCAPTCHA, as well as hardware technologies such as:

Contents

Examples

History

The first robot to successfully demonstrate a static motion detection capability was ROBART I, which was Everett's 1981 thesis project at the Naval Postgraduate School. [5] In 1997 CAPTCHA ("Completely Automated Public Turing test to tell Computers and Humans Apart") was invented. This test is used to ensure that computer is operated by a human, preventing spam robots.

See also

References

  1. Mrazovac, Bojan; Todorović, Branislav M.; Bjelica, Milan Z.; Kukolj, Dragan (2013). Reaching the next level of indoor human presence detection: An RF based solution. 2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS). Nis, Serbia. pp. 297–300. doi:10.1109/TELSKS.2013.6704936. S2CID   27212018.
  2. "Human Presence Detection with Radar Technology". Archived from the original on 2019-02-01. Retrieved 2018-11-17.
  3. IEEE, Detection of human presence in a vehicle by vibration analysis
  4. "ACAM - In-Cabin Monitoring Radar". NOVELIC. Retrieved 2024-06-02.
  5. "CHIPS The department of Navy's Information Technology Magazine". Archived from the original on 2018-11-01. Retrieved 2018-10-31.