A Tool to filter / personalise your visitors online.
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Updated
Mar 18, 2021 - Java
A Tool to filter / personalise your visitors online.
The central concept involves employing graphs, Java, and Neo4j to identify anomalies in banking transactions.
This project serves as a simplified illustration of the principles underpinning anti-fraud systems within the financial sector. In this endeavor, we focus on a system featuring an enhanced role model, a suite of REST endpoints responsible for user interaction, and an internal transaction validation logic grounded in a set of heuristic rules.
A Java module enables user to easily implement fraud detection feature into their solution using the API from
The project for 3D passive face liveness detection, face anti-spoofing, face fraudulent check, face liveness check and face fraud detection on Android.
Face recognition & Face liveness detection SDK (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
iBeta level 2 passive face liveness detection Android SDK which can detect printed photos, video replay, 3D masks, and deepfake threats
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