{"id":9830,"date":"2021-01-19T09:33:35","date_gmt":"2021-01-19T13:33:35","guid":{"rendered":"https:\/\/senstar.com\/?p=9830"},"modified":"2021-08-19T09:54:55","modified_gmt":"2021-08-19T13:54:55","slug":"2-factor-authentication-for-access-control-with-senstars-face-recognition-video-analytic","status":"publish","type":"post","link":"https:\/\/senstar.com\/de\/security-digest\/2-factor-authentication-for-access-control-with-senstars-face-recognition-video-analytic\/","title":{"rendered":"2-Factor Authentication with Senstar\u2019s Face Recognition Video Analytic"},"content":{"rendered":"

Biometrics are human characteristics considered unique to the individual which can be used to digitally identify a person to grant access to systems, devices or data. Examples include fingerprints, voice cadence and facial patterns.<\/p>\n

From a security perspective, biometrics are an ideal solution for crime prevention and other security purposes.<\/p>\n

Face Recognition as a Key Biometric<\/h3>\n

Face or facial recognition<\/a> is a form of biometrics whose reliability has developed to be on par with fingerprint and iris recognition. The reasons for this advancement are higher camera resolutions and increasingly effective algorithms.<\/p>\n

Face recognition works in the following way:<\/p>\n

    \n
  1. Detecting a face in a photo or video (is this a face: yes or no?)<\/li>\n
  2. Digitally capturing the face based on the person’s specific facial features<\/li>\n
  3. Comparing the face and searching for a match in a database<\/li>\n<\/ol>\n

    Face Recognition + Access Control = 2-Factor Authentication<\/h3>\n

    Face recognition can be used to secure locations and buildings that require an increased level of security. Combining face recognition and access control is known as 2-factor authentication and uses two of the three authentication types \u2013 something you know, something you have, or something you are \u2013 to significantly increase the level of security.<\/p>\n

    Access control badges can be lost or stolen and access codes forgotten or shared. Face recognition integrated with access control provides a cost-effective way to address these issues.<\/p>\n

    An organization that uses face recognition in combination with an existing badge or code access system follows these steps:<\/p>\n

      \n
    1. Access to secure areas is controlled by doors or gates with badge readers<\/li>\n
    2. When a person approaches the secured door \/ gate, a camera detects their face<\/li>\n
    3. The face recognition software compares the face with faces in the database<\/li>\n
    4. When a person is authorized, the VMS instructs the access control system to use the badge reader<\/li>\n
    5. If unauthorized persons are detected, the VMS can instruct the access control system to block access, notify security services and call up a live feed.<\/li>\n<\/ol>\n

      Senstar\u2019s Face Recognition Video Analytic<\/h3>\n

      Senstar offers a high-performance face recognition video analytic<\/a> within its Senstar Symphony video management software<\/a> (VMS). Utilizing patented 2D and 3D technology, this analytic is designed for fast, reliable identification under real-life conditions. The algorithm takes into account light, camera angles, facial hair, glasses and much more, making it an optimal pairing for access control.<\/p>\n

      \"Senstar<\/p>\n

      Using the search function in Senstar Symphony, manual searching through stored video is no longer necessary. Simply upload an image of a person and view automatically recorded video to find every image that contains that person.<\/p>\n

      Senstar Face Recognition offers ease of use and intuitive integration for the various available VMS functions. Senstar Symphony comes with built-in analytics support \u2013 all analytics modules can be enabled in real time without having to deploy additional servers.<\/p>\n

      For more information:<\/p>\n