Continuous Detection and Recognition of Suspected Persons

FaceOL is an  open-standard, network-based face recognition solutions ready for integration with software and hardware of many manufacturers, scalable and able to combine the management of multiple subsystems from a single location.

FaceOL system software executed on the Microsoft platform and provides the end-user multi-intuitive interface to control a powerful software platform.

  • Identify the person on the picture
  • Access control to protected objects
  • Advanced off-line investigation
  • Continuous Video Recording
  • Finding a person in the video archive video
  • Automatic annotation of people in images and video
  • High resistance to environmental conditions
  • High scalability for large objects
  • Easy integration into existing security systems
  • Flexible licensing model


FaceOL Modules



Camera capture all of persons passing to the complex identification and enrollment of all persons faces in the database (new images)

FaceMatch Capture camera person passing each subject to the complex and comparison with external or previously created a database of persons who are wanted or persons who violate the rules of conduct, or in respect of which came into force on the administrative court ruling banning
FaceInPhoto Search and matching faces in JPEG format from external archives
FaceInVideo Search and matching faces in video formats from external video files, such as CCTV / Media / TV / Personal recorded video/ YouTube etc in the following formats : MPEG-1/2, DIVX (1/2/3), MPEG-4 ASP, DivX 4/5/6, XviD, 3ivX D4, H.261, H.263 / H.263i, H.264 /MPEG-4 AVC, Cinepak, Theora, Dirac / VC-2 MJPEG (A/B), WMV 1/2, WMV 3 / WMV-9 / VC-1 Sorenson 1/3 (Quicktime), DV (Digital Video), On2 VP3/VP5/VP6, Indeo Video v3 (IV32), Indeo Video 
Offline Investigation A set of tools for multi-group investigations using any source photo and video data.
Integration Integration with management systems CCTV / Access Control/Ticket Systems


Related Brochures

FaceOL                                                                                    pdfFaceOL-eng.pdf

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