SAIMOS® Face Analytics effectively and reliably detects and recognises faces in real-time.
The simple rule system offers many possibilities to implement face analytics throughout various industries.
For example, Face Analytics can be used to complement access control systems, alarm on persons of interest, etc.
SAIMOS® Face Analytics uses state-of-the-art AI systems to detect faces within a video stream. Further, it can recognize and compare faces against multiple lists.
The user-friendly interface provides step-by-step configuration enabling fast setup times as well as alarming and reporting.
SAIMOS® Face Analytics uses state-of-the-art AI systems to detect faces within a video stream. Further, it can recognize and compare faces against multiple lists.
Potential use-cases specialise on Watchlists real-time alerting and flexible reporting of detected and recognized faces as well as for investigation during forensic analysis.
SAIMOS ® Face Analytics is purely powered by cost-efficient Intel CPU’s and do allow a centralised list management.
The system is seamlessly integrated into Milestone XProtect® Essential+ or higher and can be configured directly from within the Milestone XProtect ® Management Client. The simple scene calibration and rule definition allows an initial configuration within just a few minutes.
SAIMOS® Face Analytics can be also operated standalone or become integrated with other Video Management Systems or 3 rd Party systems via its open RESTful API.
Faces features are stored as binary vectors, which prevents face re-construction and thus supports personal data protection.
Face Analytics REST API enables access control systems to complement the access control system with facial recognition. Custom integrations for access control systems are possible.
Face Analytics with watchlists mode helps securing buildings, stadiums, shops/malls or homes and more. Faces can be added to various watchlists. An event can be triggered when a person of interestis recognised.
In retail, it’s worth to know your customer’s retention times but also the number of re-visits of over a certain period of time. Further, it’s useful to know the customer segmentation by gender and age over time and days of the week throughout the whole year.In addition, potential shoplifters can be blacklisted to inform the security when such a person enters the premises.
Face Analytics in forensics mode enables the search for suspects in archive materials and reduces the investigation time. Face Analytics can use a live face database, Milestone or exported videos as input. The right setup will reduce investigation time from days to seconds.
You cannot copy content of this page
