Price: 0
Number of applications: 3
22.01.26 (inclusive)
Contractual
Finished product
ICT tasks
HoReCa
Other technological solutions
Software/ IS
When using biometric facial identification in mobile applications, there is a high risk of identity substitution using photographs, videos, or on-screen broadcasts. Most of the existing solutions: They require active actions from the user, which worsens the user experience.; They are focused on high-performance devices and do not work well on budget models.; They have high demands on computing resources or camera quality.; They are difficult to integrate into cross-platform applications. In this regard, a specialized anti-spoofing module is required that can work passively, quickly and stably in real-world operating conditions on a wide range of mobile devices.
As a result of the module implementation, it is expected: significant reduction of fraud risks in biometric identification; improving the user experience due to the lack of additional actions; the possibility of large-scale use of the solution on mass mobile devices; improving the reliability and trust of mobile applications; a ready-made technological basis for the further development of biometric functions.
Ernazarov Arman Tilektesovich
Purpose and description of task (project)
The goal of the task is to develop an anti-spoofing module for use in mobile applications developed on Flutter, with support for iOS and Android. It is necessary to develop a software module that automatically determines whether a live person is in front of the camera of a mobile device or whether substitution is used (photo, video, screen of another device, etc.). The module should work transparently for the user, without performing additional actions (head turns, facial expressions, gestures, etc.), and be optimized for fast and stable operation on massive budget smartphones and tablets.
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