Responsible AI for the world: Technology could benefit a billion people

FaceOff AI(FO AI), from FaceOff Technologies, is a multimodal platform for digital authenticity, deepfake detection, and behavioral authentication. FaceOff AI Lite to solves real-time analytics.

Powered by the Adaptive Cognito Engine (ACE), it fuses eight biometric and behavioral signals—including facial micro-expressions, posture emotions, voice sentiment, and eye movement—to generate real-time trust and confidence scores and emotional-congruence insights within seconds.

Behavioral biometrics authentication uses unique patterns of human behavior to verify identity, analyzing how individuals interact with devices.  Unlike traditional methods like passwords, PIN which are static and vulnerable to theft, or physical biometrics like fingerprints, which rely on fixed traits, behavioral biometrics focuses on dynamic, context-driven actions.

Key advantages include:

●Enhanced Security: Hard-to-replicate behavioral patterns reduce fraud risk.

● User-Friendly: Seamless integration into existing interactions, requiring no explicit user action.

● Adaptability: Continuously updates user profiles to account for behavioral changes over time.

Faceoff AI, incorporates behavioral authentication by analyzing cues like facial micro-expressions and voice sentiment, providing real-time trust scores for applications like online video KYC or fraud detection. This approach strengthens security in industries like banking and judiciary, where traditional methods fall short against sophisticated threats like deepfakes.

This enables real-time verification and fraud prevention across industries like banking, defense, judiciary, education, and smart cities.

 By leveraging advanced facial recognition technology from Faceoff Al to transform ATM networks, enhancing both security and user experience to set a new benchmark in intelligent self-service banking.

Key features includes:

● Real-Time Deepfake Detection: Uses eight AI models across vision, audio, and physiology to assess content authenticity, providing nuanced trust scores (1–10) unlike binary detectors. It starts once the recording gets over.

● Behavioral Biological Authentication: Realtime identity verification for applications like online video KYC by integrating liveness detection and behavioral insights.

● Privacy-First Architecture: Processes data on-device or in private clouds, ensuring zero private data transfer and compliance with privacy standards.

● Enterprise Integration: Seamlessly integrates via SDKs and APIs with platforms like Zoom and Microsoft Teams, supporting real-time fraud detection and secure onboarding.

Faceoff AI tackles the growing digital authenticity crisis, where traditional security measures fall short against sophisticated deepfakes and synthetic fraud. Its real-time analytics empower organizations to make informed decisions quickly, enhancing security and trust in critical sectors.

Sector wise- Industries are going to get benefitted

Credit-Based Fraud: Used to obtain loans or credit cards, build credit history, default on large amounts.

Employment Fraud: Fake identities used to gain jobs and access sensitive systems or commit insider fraud.

Government Benefit Fraud: Fraudulent claims on subsidies or welfare benefits.

Healthcare Fraud: Access to medical services or prescriptions under false identities.

Insurance Fraud: Purchase of policies and filing of fake claims using synthetic profiles.

Money Laundering: Opening accounts and transferring illicit funds to obscure the financial trail.

Telecom Fraud: Acquiring SIM cards under fake identities for misuse or illegal activities.

E-Commerce Fraud: Exploiting online platforms using synthetic identities.

Implementation of FOAI will prevent from the stampedes, managing dense crowds in confined spaces, identifying individuals under distress or posing a threat, ensuring the integrity of queues, and protecting critical infrastructure and VIPs.

Enhancing DigiYatra with Faceoff AI Stack: Toward Secure, Inclusive, and Deepfake-Resilient Air Travel

The Faceoff AI Solution Proposition:

This proposal details the application of Faceoff's Adaptive Cognito Engine (ACE), a sophisticated multimodal AI framework, to provide a transformative layer of intelligent security and management for analyzing real-time video (and optionally audio) feeds from existing and new surveillance infrastructure, Faceoff AI aims to provide security personnel and temple administration with:

• Proactive identification of potential security threats and behavioral anomalies.
• Early detection of crowd distress, medical emergencies, and conditions conducive to stampedes.
• Enhanced identity verification support at sensitive points (without replacing existing systems but augmenting them).
• Improved situational awareness and actionable intelligence for rapid response.
• Objective data for incident analysis and future preparedness.

This solution is designed with privacy considerations and aims to augment human capabilities for a safer and more secure pilgrimage experience.

Adaptive Cognito Engine (ACE) - Key Modules for FaceOff LIte

1. Facial Emotion Recognition Module

2. Posture-Based Behavioral Analysis Module

3. Eye Tracking Emotion Analysis Module (FETM)

4. Heart Rate and SpO2 Detection Module

Trust Fusion Engine: Aggregates outputs into a "Behavioral Anomaly Score" or "Risk Index" for individuals/crowd segments, and an "Emotional Atmosphere Index" for specific zones.

Empower Your Banking Security Today with  FO AI

Transform your ATM network with FaceOff AI—combining advanced facial recognition and a Biological Behaviour Algorithm (BBA) to elevate security and deliver a seamless, intelligent self-service experience.

By leveraging FaceOff AI’s facial recognition and Biological Behaviour Algorithm to upgrade ATM networks, strengthening security and UX while setting a new benchmark in intelligent self-service banking.

Deploy FaceOff AI with BBA to authenticate in seconds, deter fraud, and delight customers at every touchpoint.

Modernize ATMs with FaceOff AI and BBA for stronger protection and a superior user experience. Book a demo today.

FaceOff Lite Refers to a Lightweight Version of Faceoff AI. A lightweight variant designed for low-end systems without a GPU would align with its privacy-first, on-device processing architecture. FaceOff Lite can run in edge devices (CCTV, webcam etc.), simple Desktop and laptop, No need of GPU.