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Applied artificial intelligence

Turn camera footage into operational data in real time

LixAI builds AI video analytics and domain document assistants for security, public safety, banking and manufacturing — deployed end to end from edge devices to the command centre, entirely on your own infrastructure.

  • Object recognition
  • Behaviour analytics
  • Intelligent search
  • Command dashboard
  • Real-time alerting
  • AI Box: edge processing

LixVision · Command centre

Live
Restricted zone
Person 0.98
Person 0.95
Car 0.93

CAM-06 · 05/08/2026 14:28:07

AI Box · processed at the edge

  • 14:28:07Person entered restricted zone
  • 14:26:52Crowd density above threshold
  • 14:25:19Plate recognised 30A-512.66
95%faster
Time to detect an anomaly
90%faster
Time to analyse footage
50%less
Security staff on watch
24/7continuous
Uninterrupted monitoring

Figures aggregated from LixAI AI-camera deployments.

Company profile

AI built around the operational problem, not the demo

LixAI is a technology company working in information technology and artificial intelligence, building AI solutions for real-world operations. Our core product is AI software that processes and analyses camera imagery for security, public safety, banking and manufacturing. LixAI also provides an AI system that summarises, analyses and answers questions on domain-specific documents, helping organisations exploit their data effectively and decide faster and more accurately.

Computer vision

Real-time analysis of camera imagery, processed right at the edge device.

Natural language processing

Summarising, querying and consolidating your organisation's document archive.

Scope of services

01

Products & solutions

Computer vision and document assistant platforms, packaged around each organisation's problem.

02

Software development

Purpose-built software that embeds AI models into existing business processes.

03

IT project delivery

Survey, design, rollout and operation — from edge devices to the command centre.

Vision & mission

Vision

To lead the way in Agentic AI, supporting digital transformation and a sustainable digital society.

Mission

LixAI builds practical AI solutions that help organisations use their data effectively and operate more safely and intelligently.

Core values · 5T

  • 01

    Practical

    Grounded in each organisation's real operating problem.

  • 02

    Efficient

    Saving infrastructure cost, staffing and time.

  • 03

    Reliable

    Stable operation with data kept safe and secure.

  • 04

    Pioneering

    Leading research and adoption of Agentic AI.

  • 05

    Intelligent

    Supporting faster and more accurate decisions.

Product platforms

One platform that sees, one that reads

Lix-Vision turns video into structured data. Lix-Assistant turns domain documents into decision-ready information. Both run entirely on internal infrastructure — your data never leaves the organisation.

Video data analytics

Lix-Vision

Converts camera imagery into structured digital data, enabling real-time detection, recognition, tracking and behaviour analysis. Video becomes a quantitative data source that can be queried, aggregated and integrated with an IOC or domain management systems, raising the effectiveness of monitoring and command.

  • Object recognition
  • Behaviour analytics
  • Intelligent search
  • Command dashboard
  • Real-time alerting
  • AI Box: edge processing
Talk to us about Lix-Vision

Object tracking

ID #A-118
CAM-02
CAM-0796%
CAM-11
  • 14:21:08

    Main gate

  • 14:23:44

    Corridor B

  • 14:24:50

    Car park

Same subject matched across 3 cameras, full route reconstructed in 3 min 42 sec.

Natural language processing

Lix-Assistant

Uses natural language processing (NLP) to automatically analyse, extract key content and produce concise, accurate summaries from administrative documents, reports and directives. It shortens document handling time, supports effective command and direction, and is deployed on secure internal infrastructure.

  • Administrative document summaries
  • Q&A over the document archive
  • Key content extraction
  • Report and directive consolidation
  • On-premise deployment
  • Role-based access control
Talk to us about Lix-Assistant

Document summary

On-premise

Source document

Dispatch 1234/KT-VP

Summary

3 key points

  • Reporting deadline: before the 15th of each month
  • Lead unit: Technical Department
  • Scope: the entire northern camera cluster

Ask across your document archive…

Ask

Flagship application

Public security

An AI video analytics platform that helps security forces monitor, detect and respond to incidents in real time at scale. It integrates directly from cameras and edge devices through to the command centre, strengthening oversight and speeding up response to security incidents.

Key capabilities

  • Face, licence plate and object recognition
  • Abnormal behaviour detection
  • Subject tracking across multiple cameras
  • Real-time alerts to the command centre
  • Analytics and reporting for investigation and statistics

Operational impact

  • Stronger 24/7 security monitoring
  • Less reliance on manual watching
  • Shorter time to detect and resolve incidents
  • Decisions grounded in data
  • Lower operating and staffing cost
  • Safer communities and urban areas

Platform capabilities

Eight capability groups covering the full operational cycle

From edge data capture and AI analysis to instant alerting, statistical reporting and open integration with existing systems.

01

Monitoring & command

  • Unified data from cameras, IoT and edge AI
  • Real-time video on the dashboard/IOC
  • GIS map showing status by area
  • Tiered monitoring and dispatch
02

Traffic & vehicles

  • Vehicle data capture from traffic cameras
  • Vehicle recognition and classification
  • Flow, density and congestion tracking
  • Violation records as input data
03

Recognition & identity verification

  • Face, licence plate and attribute recognition
  • Matching against operational databases
  • Identity verification at control points
04

Behaviour analytics & anomaly detection

  • Suspicious behaviour and crowd gathering detection
  • Recognition of unusual or dangerous objects
  • Configurable AI rules and scenarios
05

Subject tracking & tracing

  • Multi-camera tracking
  • Attribute-based search (re-ID)
  • Route and timeline reconstruction
06

Real-time alerting & incident response

  • Instant multi-channel alerts
  • Configurable incident response playbooks
  • Integration with dispatch services (113/114/115…)
07

Analytics & intelligent reporting

  • Statistical dashboards and trend analysis
  • Automated reports by business process
  • AI-based anomaly forecasting
08

System management & open integration

  • Device, user and permission management
  • Integration with national databases and IoC
  • API, SDK

Architecture & deployment

Five layers, from edge cameras to the command centre

Imagery is analysed at the edge before being aggregated on the central platform — reducing bandwidth load and shortening time to alert.

  1. Layer 01

    Camera & Edge

    IP cameras, drones, IoT sensors, edge boxes. On-device AI analysis: recognition, behaviour, litter, falls and more.

  2. Layer 02

    AI Modules

    A dedicated AI module per use case: Traffic, Waste, Face, Crowd, Behavior.

  3. Layer 03

    Smart Zone Hub

    Data aggregation, real-time dashboards, GIS maps and alerting.

  4. Layer 04

    Smart City Intelligence

    Predictive analytics, alerting and automated decision support.

  5. Layer 05

    Dashboard & App Layer

    Command centre, mobile applications and statistical reporting.

Deployment model

A distributed architecture running from monitoring points to the central management platform, connected over the internet or an internal LAN.

At the monitoring point

  • Camera + AI Box + alarm light and siren
  • Junctions and traffic corridors
  • Residential areas, industrial park and resort gates
  • Rolled out commune by commune, then scaled out
  • AI processed at the edge to reduce bandwidth load

Central management platform

  • Server room / cloud: server, VMS, storage
  • IOC command centre and operations dashboard
  • Feature configuration and user permissions
  • Consolidated analytics, statistical reports, archiving
  • Intelligent search and anomaly alerts
  • Web and mobile access

Sectors & environments

A tailored AI scenario set for every environment

One platform, reconfigured to the characteristics and risk profile of each monitored area.

Headquarters security

  • Virtual security perimeter
  • Gate access control
  • Crowd gathering detection and alerts
  • Restricted area monitoring

Tourist areas

  • Visitor flow statistics
  • Crowding and overload detection
  • Locating lost visitors
  • Abnormal behaviour: falls, fights

Industrial parks

  • Restricted area monitoring
  • Factory access control
  • Unauthorised intrusion detection
  • Occupational safety monitoring

Residential & urban areas

  • Virtual security perimeter
  • Stranger and blacklist detection
  • Illegal waste dumping detection
  • Vehicle entry and exit density
  • Fire and explosion alerts

Transport

  • Licence plate recognition
  • Vehicle density statistics
  • Plate-based tracing
  • Crowd gathering detection
  • Congestion forecasting

Don't see your environment here?

Banking, manufacturing, hospitals, schools… We survey your existing cameras and design an AI scenario set that matches how you actually operate.

Book a site survey

Deployment results

Measured results from real projects

Each figure below is the reduction recorded after AI cameras replaced manual monitoring.

Case study

AI cameras for a tourist area

0%

Control staff

0%

Security staff

0%

Analysis time

Solution deployed

  1. 01Detection of conflict and fighting
  2. 02Detection of people carrying weapons
  3. 03Recognition of blacklisted subjects
  4. 04Unauthorised intrusion detection
  5. 05Visitor density statistics
  6. 06Locating lost visitors

Operational flow

  1. Upload the image of the person to be found
  2. Search live across cameras in the tourist area
  3. Search face or body shape across archived video
  4. Notify the monitoring team

Contact

It starts with a site survey

No need to replace your existing cameras. The LixAI team assesses the infrastructure you already have and proposes an approach that fits your budget.

  1. 01Survey the existing cameras and network infrastructure
  2. 02Identify the priority problem and the AI scenario set
  3. 03Propose a deployment model and pilot it in one area

Request a consultation & demo

We respond within 24 business hours.