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3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.
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Enhancing Public Safety with 3DiVi Inc. Computer Vision
Leveraging the power of artificial intelligence (AI) and advanced imaging techniques, 3DiVi Inc. is revolutionizing public safety by enabling proactive surveillance, intelligent threat detection, and efficient response mechanisms.
Applications
3DiVi-powered cameras help detect overcrowding, spot bottlenecks, and enable quick response, ensuring safety and smooth crowd flow at large events.
3DiVi computer vision monitors traffic, detects violations, and identifies risk zones, enabling real-time analysis and adaptive traffic control.
3DiVi face recognition matches individuals to watchlists in public spaces, enabling quick threat detection and enhancing security in critical areas.
3DiVi computer vision analyzes live video to detect suspicious activity, unattended objects, and persons of interest, enabling rapid, proactive risk response.
Learn More About 3DiVi Products
Face and body recognition library for server, mobile or embedded solutions
Integrable face recognition system for analyzing images and video
Remote identity verification technology stack with face biometrics for digital onboarding and eKYC services
Facial security system designed to protect access to workplaces
3D body (skeletal) tracking middleware
API-module for video analysis of faces, objects, silhouettes and movements
Embedded platform for intelligent video analytics
Custom AI development
White Paper
Threat Model for Remote Biometric Identification in Digital Banking
Overview of Face Biometric Attacks – A deep dive into how fraudsters exploit face recognition systems from photo attacks to deepfakes.
Countermeasures – Best practices to combat biometric fraud using AI-powered detection, organizational controls, and more.
Comprehensive Threat Model – A detailed analysis of threat actors, potential threats, and implementation strategies.
Industry Impact – How fintech services and digital platforms can fortify biometric authentication security.
White Paper
Threat Model for Remote Biometric Identification in Digital Banking
- Comprehensive Threat Model – A detailed analysis of threat actors, potential threats, and implementation strategies.
- Overview of Face Biometric Attacks – A deep dive into how fraudsters exploit face recognition systems from photo attacks to deepfakes.
- Countermeasures – Best practices to combat biometric fraud using AI-powered detection, organizational controls, and more.
- Industry Impact – How fintech services and digital platforms can fortify biometric authentication security.
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