Operator AI — Intelligent, Scenario-Driven Video Analytics by Incoresoft
Operator AI from Incoresoft turns raw camera streams into clear, actionable intelligence — automatically. Imagine scenario-driven alerts, LLM-generated context for every event, and a system that adapts as your security and operational needs change. As indicated by our tests, Operator AI speeds up investigations and reduces false alarms — while keeping privacy front and center.
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.
Ventajas
Real-time scenario-based alerts
LLM-powered context for each alert
Privacy-first operation modes
- 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
How Operator AI Works
01
Ingesta y detección: Cameras stream via RTSP/ONVIF — Operator AI detects objects (people, vehicles, bikes, unusual items) and timestamps each detection.
02
Extracción de atributos: 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).
Directions of Operator AI
Operator AI vs. Traditional Video Search
Capacidad |
Búsqueda tradicional en archivos |
Operator AI (Incoresoft) |
|---|---|---|
|
Método de búsqueda |
Limpieza manual de la línea de tiempo |
Attribute-based + scenario triggers |
|
Cross-camera continuity |
Manual, error-prone |
Reconstrucción automatizada de rutas |
|
Context for events |
Snapshot + operator text |
LLM-generated summary + metadata |
|
Integración con VMS |
Varies |
Native & plugin integrations (Milestone, Luxriot) |
|
Privacy options |
Limitado |
Attribute-only modes & configurable privacy |
|
Notificaciones en tiempo real |
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.
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.
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.
FAQ2
Operator AI is focused on appearance-based detection and scenario-driven alerts. Facial matching is optional and can be disabled; attribute-only modes avoid biometric face-matching for privacy-sensitive deployments.
Operator AI supports flexible deployment models. LLM components can run on-premises for maximum data control or in a controlled cloud configuration depending on licensing and customer preference.
Minimal CPU-only deployments are possible for small sites. For medium and enterprise loads we recommend GPUs (e.g., NVIDIA T4 / A10 / A100) and support Intel OpenVINO for CPU acceleration.
Accuracy depends on camera resolution, placement and environmental conditions. As indicated by our tests, appearance-embedding based tracking retains high accuracy in low light, occlusion and mask-wearing situations — often outperforming face-only methods in these conditions.
Yes. Operator AI integrates natively with Milestone XProtect, Luxriot Evo, and provides API endpoints and exports for Power BI and Google Data Studio.
Use attribute-only modes, encryption, role-based access, and on-premises LLM deployment to meet GDPR and other regional privacy requirements. Operator AI’s configurable privacy settings help legal and security teams adopt compliant workflows.
Enterprise customers receive onboarding, admin/operator training, and prioritized support. Integration assistance and pilot programs are also offered to validate performance on-site.