Human-centric
AI Computer Vision

Resources

Company

3D body (skeletal) tracking middleware

Nuitrack SDK

Custom AI Development

Core AI

Automated camera performance testing for facial identification

Camera Check Service

API-module for video analysis of faces, objects, silhouettes and movements

Omni Agent

A computing unit for processing video streams, enabling real-time data analysis

Edge AI Hardware

Remote identity verification technology stack with facial biometrics for authentication and identity fraud prevention

BAF

Facial recognition platform for video processing

Omni Platform

Facial and body recognition library for server, mobile and embedded solutions

Face SDK & API

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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Documentation

Success Stories

Cut Shoplifting Losses with 3DiVi

AI-powered video analytics for real-time shoplifter detection and prevention — trusted by major retail chains.

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How It Works

Face Recognition of Known Offenders

Instantly matches faces with internal or shared watchlists across your store network
Real-Time Alerts to Your Security Team

Sends instant alerts when a match or suspicious behavior is detected, enabling rapid response
Behavioral Analytics to Flag Suspicious Activity

Detects unusual patterns like loitering, sudden movement near high-value shelves, or frequent visits
Seamless Integration with Your Existing Cameras

Works with standard CCTV infrastructure. No need to replace your hardware

Case Study

A fashion retail chain deployed 3DiVi Omni Platform across 183 stores in 32 cities. Within one year, they reduced theft losses by over 50%, without replacing existing surveillance infrastructure. With real-time facial recognition, behavior analysis, and instant alerts, their security teams started acting proactively — not reactively. The result was not just fewer incidents, but faster investigations and better loss prevention ROI.

AI caught over 1,000 repeat offenders
Response time dropped by 70%
Loss prevention ROI improved x2.3

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Key Features

Face Recognition Watchlists

The system identifies known offenders by matching faces from surveillance feeds with watchlists. When a match occurs, security teams get an instant alert with photo and location, allowing them to act before theft happens.
Behavioral Pattern Recognition

AI detects suspicious actions — like repeated shelf visits, lingering, or unusual movements. These behavior signals help flag incidents before items go missing, even if the person is not in a database.
Event Timeline & Video Evidence

Each alert is logged with time, video, and behavior tags. Staff can quickly review footage, build offender profiles, and forward material to police if needed.
Automated Reporting and Dashboards

Managers get live dashboards showing theft trends, store risk levels, and impact of prevention. This helps make better decisions and prove ROI to leadership.

Deployment Options

Use a Proven Solution

A pre-integrated retail theft detection system based on 3DiVi Omni Platform. Suitable for businesses looking for a fast start and standardized workflow.

Build Your Own

Create a custom solution tailored to your infrastructure and processes using 3DiVi’s face recognition and behavior analytics technologies