Operations Intelligence

Operator AI

Discover VEZHA® Smart Video Analytics by IncoreSoft - an advanced AI video analytics plugin for smart cities and enterprises. Detect, classify, and track objects in real time with seamless VMS and BI integration.

Real-time inference
On-premise or cloud
GDPR compliant
REST API & SDK
Parent and child in supermarket
STORE CAM-04 • AISLE 7
RESTRICTED ZONE
Zone Violation
Adult with child detected in restricted area. Immediate attention required.
2s ago
Detected
Aisle 7
Location
ZoneMonitoring
TypeClassification
24/7Active
common.capabilities

Advantages

01

Create custom AI scenarios to detect non-standard events such as unusual behavior, crowding, scooters, animals, or abandoned objects

02

Receive real-time alerts enriched with screenshots, timestamps, camera IDs, and automatic LLM-generated descriptions

03

Tag and categorize events flexibly with labels like “security risk,” “maintenance issue,” or “VIP detection”

04

Apply time-based detection rules to monitor specific zones more closely during selected intervals

05

Work seamlessly with multiple video sources, VMS archives, and live streams at the same time

06

Integrate natively with major VMS platforms including Milestone XProtect, Luxriot Evo, and Nx Meta

07

Review events using visual diagrams and timelines for rapid post-incident analysis

08

Manage roles for admins, operators, and analysts with granular access rights and AD/LDAP support

09

Search events using natural language, visual attributes, or filters like “person in red jacket” or “crowd detected”

10

Perform precise attribute-based searches for people, vehicles, and objects - even with partial descriptors

Process

How It Works

01

Ingest & Detect

Cameras stream via RTSP/ONVIF - Operator AI detects objects (people, vehicles, bikes, unusual items) and timestamps each detection.

02

Attribute Extraction

The system extracts clothing color, accessories, motion traits, vehicle type, and other attributes into compact embeddings.

03

Scenario Matching & LLM Context

Predefined or custom scenarios trigger event workflows. An embedded LLM generates a human-readable, summarized description of the event.

04

Alert, Archive & Search

Alerts include the screenshot, timeline, and relevant metadata. Operators can search by attributes, reconstruct routes across cameras, and export results (JSON, CSV, PDF).

Integrations

Works With Your Existing Stack

Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.

IP Cameras

Any ONVIF / RTSP stream

Axis CommunicationsBosch Security SystemsDahua TechnologyHanwha VisionHikvisionVivotekUniview (UNV)MilesightRTSPONVIF

VMS Platforms

Native plugin & SDK support

VMS VezhaMilestoneGenetecNx WitnessAvigilon

Edge Hardware

GPU-accelerated inference

NVIDIA JetsonIntel NUCGPU ServerCloud
IncoreSoft helps transportation agencies modernize safely and efficiently - from small pilots to full network-wide rollouts. Our hands-on approach ensures seamless integration with existing systems, precise model tuning, and measurable improvements in safety, operations, and passenger experience.

Why Operator AI?

Detect what matters - not just what’s standard

Traditional analytics rely on fixed rules and brittle thresholds. Operator AI uses scenario templates plus LLM-generated context so you can detect non-standard events - from a scooter blocking an emergency exit to an unusual crowd pattern near a dock.

Faster investigations, fewer false alarm

Our integrations with VMS platforms like Milestone XProtect and Luxriot let operators act fast. Our team discovered through using this product that time-to-identify latency drops dramatically when context and screenshots are delivered alongside alerts.

The Operator AI module transforms how teams search and analyze video. Instead of manually scrubbing timelines or juggling camera views, operators get automated route reconstruction, rich metadata, and AI-generated context for every event. With native VMS integrations and configurable privacy modes, it delivers faster investigations, fewer errors, and dramatically improved operational clarity.

Operator AI vs. Traditional Video Search

CapabilityTraditional Archive SearchOperator AI (Incoresoft)
Search methodManual timeline scrubbingAttribute-based + scenario triggers
Cross-camera continuityManual, error-proneAutomated route reconstruction
Context for eventsSnapshot + operator textLLM-generated summary + metadata
Integration with VMSVariesNative & plugin integrations (Milestone, Luxriot)
Privacy optionsLimitedAttribute-only modes & configurable privacy
IncoreSoft helps transportation agencies modernize safely and efficiently - from small pilots to full network-wide rollouts. Our hands-on approach ensures seamless integration with existing systems, precise model tuning, and measurable improvements in safety, operations, and passenger experience.

Technical Specs & Compatibility

Supported OS & Platform

  • Linux (Ubuntu 20.04+), Windows 10+, Windows Server 2019+ - x64 platform.
  • Hardware acceleration: Intel OpenVINO, NVIDIA TensorRT.

Video & Data

  • Camera protocols: RTSP / HTTP / HTTPS / ONVIF
  • Video formats: MP4, MKV, AVI, MJPEG; Codecs: H.264, H.265, MJPEG.
  • Output: JSON / XML / CSV / PDF.
  • Databases: MySQL, PostgreSQL, MS SQL, Oracle.
IncoreSoft’s security architecture is built for mission-critical transportation environments. Our platform combines advanced AI analytics with strict access controls, encrypted data handling, and privacy-first modes that avoid facial recognition. With flexible deployment options - from small stations to large multi-hub networks - transit operators can meet regional compliance standards while ensuring safe, reliable, and scalable video operations.

Security, Compliance & Privacy

Enterprise-grade security

  • Active Directory / LDAP support, roles & group permissions, centralized management, data encryption.

Privacy-by-design options

  • Configure attribute-only modes (no facial matching).
  • Territory-specific deployment recommendations (on-premises or controlled cloud).

Deployment Options & Sizing

  • Light: Small retail or private site - 1–10 cameras, single GPU edge server for real-time analytics.
  • Medium: Multi-floor building or campus - 10–50 cameras, dedicated GPU server (single or dual GPU) for continuous video processing.
  • Enterprise: Smart city or large transport hub - hundreds of cameras, distributed GPU clusters with load balancing for high-availability, large-scale deployments.
IncoreSoft’s security architecture is built for mission-critical transportation environments. Our platform combines advanced AI analytics with strict access controls, encrypted data handling, and privacy-first modes that avoid facial recognition. With flexible deployment options - from small stations to large multi-hub networks - transit operators can meet regional compliance standards while ensuring safe, reliable, and scalable video operations.

Why Choose IncoreSoft

Deep AI Expertise

We build advanced computer vision and LLM-driven solutions backed by years of real-world deployments across cities, retail, industry, and transportation.

Flexible, Scenario-Based Detection

Operator AI adapts to your environment - detecting non-standard events, unusual behavior, and complex situations that traditional analytics miss.

Seamless System Integration

Works smoothly with Milestone XProtect, Luxriot Evo, Nx Meta, major databases, BI tools, and existing infrastructure.

Strong Privacy & Security

GDPR-friendly modes, data encryption, and role-based access ensure safe and compliant operation without compromising performance.

Proven Results in the Field

Trusted by organizations worldwide. Our solutions consistently reduce response time, simplify investigations, and improve operational efficiency.

Built to Scale

From small facilities to large smart-city projects, Operator AI scales effortlessly with GPU acceleration and distributed architecture.

FAQ

Frequently Asked Questions

Contact Us

Ready to Get Started?

Fill in the form and our team will get back to you shortly.