The Id-Me Face Recognition Module is a software-hardware solution capable of face detection via video stream processing. Subsequently, it is also capable of face search through matching to a pre-defined database or a list. From the moment of detecting a face image of sufficient quality, the matching to a database is completed in under 1 second. The system supports visitor categorization into groups, such as “staff”, “contractor”, “wanted” etc., which allows the structuring of notifications. Each time a person is captured by the system, the following data record is stored in the system database: the captured person’s face crop, the respective video frame this image has been cropped from, the person’s biometric template, as well as the date, the time, and the camera id, along with some other attributes necessary to make database search and the search result filtering faster and more convenient. Hence, the system only needs a few seconds for accomplishing tasks a human operator would otherwise need minutes or even hours for. The face recognition system also has an open-source API, which simplifies the integration with external IT systems, the usage of recognition results for business intelligence purposes, and the creation of an integrated infrastructure aimed at improving business safety and efficiency.
Features
- Human face detection in video streams. Creation and maintenance of a visitor database
- Notification of visitor presence from a pre-defined visitor list
- Notification of unauthorized visitor presence in a high security area
- Fast database search (“smart search”) of a suspect by their face image, with an option to extract the following attributes: video camera id, location id, time and date
- Visitor identification via the mobile app
- The possibility to create smart business solutions through integration into ERP/CRM systems via the use of open-source API
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