Description

EVOLUTION OF THE ALGORITHM SPEED AND ACCURACY
Our team is constantly improving and optimizing the work of recognition algorithms, which allows FindFace Multi to have a competitive edge at any given time.
FACE LIVENESS
FindFace Multi includes a passive 2D anti-spoofing system that works on all cameras and allows you to distinguish a live person from an image. Thanks to the analysis of several frames, the neural network captures changes on the surface of the human face. This process ensures that the face in front of the camera belongs to an actual person, and eliminates the possibility of fraudulent use of images on paper or screens of mobile devices.
FindFace Multi Liveness is a plug-in module working through API, which can reduce the total system cost where anti-spoofing is not required.

Liveness is used for user authentication by face within the FindFace Multi system as well.
FACE MASK DETECTION
FindFace Multi recognizes faces with high precision, even if they are partially covered.
MaskРамка
The system can detect the presence of a mask on the face in three states: no mask, correctly worn, improperly worn.

PERSONS
All events with the same individual are automatically combined into a single entity — person, which significantly simplifies the search for the necessary information collected at different times and under different conditions.
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With the help of persons, work with the dossiers becomes more intuitive and effective. Create or add information to the dossier in a couple of clicks!

FACE AND SILHOUETTE COUNT
With FindFace Multi, you can set up face and silhouette counters on the connected cameras to determine the exact number of people in the frame. The algorithms work more accurately than the human eye and can recognize people even in difficult conditions.
counting of people - findface security - face recognition

The face and silhouette counting function can be used to monitor queues and waiting areas, public meetings, prevent crowding, etc.

VISITOR ANALYTICS
FindFace Multi has a built-in capability to generate charts on a number of parameters such as gender, age, number of unique and returning visitors.

FindFace Multi will give you a complete picture of the ongoing events and provide a sound basis for making quick decisions based on real data.

RELATION ANALYSIS
FindFace Multi is always one step ahead with the ability to identify circles of interaction between people. Each person is checked for contacts with other individuals who have been caught in the frame of a surveillance camera in close proximity and their own circle of contacts is displayed accordingly. This way, you can trace a chain of connections of up to three people.
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Relation analysis opens up new possibilities in incident investigations, as well as tracking potential contamination during pandemics

ANONYMITY PROTECTION
FindFace Multi does not store information on people who are not in the database. A blurring effect can be automatically applied to faces that accidentally get in the frame.
GDPR FACE RECOGNITION
An option to protect personal data will take care of the anonymity of visitors without preventing the artificial intelligence from solving the tasks at hand

EASY REPORT DOWNLOAD
Any report in FindFace Multi can be generated at the touch of a button! Just go to the tab with the data you are interested in and request a report in xlsx format. With the built-in manager, all the reports are always at your fingertips.

The report download function will save time when you need to analyze data in third-party BI-systems or need to visualize the results of the work without access to the system

USER MANAGEMENT
HAS NEVER BEEN EASIER
Assign face recognition camera groups and manage user access levels, watch lists, and events in a couple of clicks. As an administrator, you will be able to create an automated system that notifies only specified user lists and define who can access crucial information. This will especially come in handy for law enforcement organizations dealing with a database of high complexity. Establish a highly effective facial recognition system to receive biometric data from a video stream.