AI Video Surveillance & Event Management
Transform raw CCTV video into detectable, verifiable, and actionable on-site events
Designed for campuses, industrial facilities, office buildings, warehouses, and institutional grounds. ALNETS unites video ingestion, person detection, perimeter rules, alert events, and evidence review—helping security staff pinpoint critical moments without staring at feeds 24/7.
CHALLENGES & BOTTLENECKS
Why Traditional Video Surveillance Needs Event-Driven AI
Enterprises have installed dozens or hundreds of cameras and archived petabytes of recordings. However, continuous manual viewing inevitably leads to fatigue and missed incidents.
Dozens of Continuous Feeds Overwhelm Human Attention
Security operators must watch multiple video streams simultaneously. Staring at inactive corridors causes fatigue, causing occasional intrusions to go unnoticed.
Critical Zones Need Special Focus But Feeds Look Identical
Warehouse gates, electrical rooms, and public lobbies have vastly different safety rules. Traditional systems lack granular per-camera rule boundaries.
Tracing Incident Timestamps and Reviewing Footage is Slow
When an incident is reported, operators must manually fast-forward through hours of continuous video, struggling to pinpoint the exact sequence.
Desire to Add AI Value Without Replacing Existing Cameras
Facilities already invested in standard IP cameras and NVRs. Replacing everything with specialized AI cameras incurs prohibitive equipment and rewiring costs.
SYSTEM ARCHITECTURE
Five-Layer Architecture: Video Ingestion to Actionable Events
Cameras capture video, NVRs store long-term footage, AE-2000 edge compute detects events locally, and staff review verified evidentiary clips.
Video Ingestion Layer
Edge AI Video Analytics
Perimeter & Event Rules
Evidence & Operations Portal
Integration & Roadmap
CORE CAPABILITIES
Six Core Capabilities Delivering Operational Grounding
From standard stream ingestion to trajectory tracking and evidentiary clips—establishing a reliable operational loop.
Stream Ingestion & Grid View
Ingests IP cameras via standard RTSP/ONVIF protocols with 1-feed, 4-grid, and 9-grid Web previews, supporting adaptive stream balancing.
Person Detection & Tracking
High-accuracy real-time person detection with continuous multi-frame trajectory tracking, forming the factual basis for spatial rule evaluation.
Four Spatial Rule Types
Directly draw virtual restricted polygons, directional tripwire lines, dwell-time thresholds (second-level timer), and headcount conditions.
Event Logging & Alert Telemetry
Instantly generates event cards on rule triggers, logging camera ID, high-precision timestamp, and alert type for operator response.
Snapshot & Clip Evidence
Automatically saves a high-res keyframe and an evidentiary video clip covering seconds before and after the alert trigger.
Independent Rule Versioning
Each camera stream maintains independent geometry and threshold configs with version changelogs, ensuring full operational auditability.
HARDWARE & ECOSYSTEM MATRIX
Role-Based Composition: ALNETS HW & SW Matrix
Clear division of labor: Cameras provide video, AE-2000 executes edge AI inference, VMS archives continuous footage, and network/ops tools assist as needed.
AI Video Analytics App
Handles stream ingestion, live previews, person tracking, spatial rules, real-time alerts, and evidence review.
Core Solution Software
AE-2000 Edge Computer
Powered by RTX 2000 Ada with 16GB ECC VRAM. Rugged dust-resistant aluminum chassis serving on-site multi-stream inference.
View Product →
Project GPU Analysis Node
Centralized compute node role for campus-scale multi-stream video analytics, sizing GPU clusters by camera groups.
Sized by Project Scope
AiR Gateway Router
Optional: Provides encrypted remote maintenance tunnels and isolated networking without exposing video feeds.
View Product →
AiM Device Ops
Optional: Manages device onboarding, remote hardware health telemetry, firmware updates, and system config backups.
Ops & Telemetry Tool
Legacy Cameras & VMS
Leverages existing CCTV cameras for live streaming, while NVR/VMS retains 30-90 days continuous storage.
Retrofit & IntegrationPRACTICAL SCENARIOS
Four High-Value Video Surveillance Scenarios
From perimeter intrusion defense to corridor crowd monitoring and legacy NVR upgrades—delivering practical results.
Restricted Zone Management: Perimeter Intrusion Defense
Define virtual boundary polygons or tripwires over warehouse doors, electrical rooms, hazardous machines, or R&D archives. Intrusions immediately trigger events with exact timestamps, screenshots, and evidentiary video clips.
Public Corridors: Dwell Time, Loitering & Headcount Rules
Monitor building lobbies, primary corridors, and public atriums for abnormal dwell times (continuous presence exceeding threshold seconds) or headcount surges, alerting staff to inspect crowd flow.
Event Verification & VMS Deep-Linking: Instant Traceability
Operators review snapshot stills and 10-second evidentiary clips in the browser to assess the situation immediately. For serious incidents, they click to deep-link into existing VMS/NVR recordings at the exact timestamp.
Legacy System AI Retrofitting: Zero Disruption to Existing CCTV
Clients with legacy Hikvision or Dahua NVR setups can easily upgrade without replacing hardware. By deploying an AE-2000 edge host inline on the LAN to ingest RTSP/ONVIF streams, existing recording operations remain 100% undisturbed.
RECOMMENDED BUNDLES
Four Targeted Hardware & Software Combinations
From a single critical zone pilot to campus-wide centralized compute and future identity expansion.
| Bundle Direction | Core Components | Target Objective | Value Proposition |
|---|---|---|---|
| Critical Zone Edge BundlePilot | IP Cameras + AE-2000 Edge Host + Person & Area Event App | Campus gates, manufacturing machinery, warehouse entrances | Make critical events visible first with minimal initial outlay |
| Evidence & VMS Review BundleFull Proof | AE-2000 Edge Node + Snapshot/Clip Engine + NVR/VMS Deep-Linking | Sites requiring shift handover, incident review & verified audit trails | Jump from event clips to full recordings in seconds |
| Campus Centralized AnalysisScalable | Project GPU Nodes grouped by camera clusters + Unified VMS + Console | Multi-building business parks, logistics hubs, large campuses | Standardized video analytics architecture across multiple zones |
| Identity & Vision RoadmapRoadmap | Core Event App + Face Matching / Re-ID / VLM Review + Business APIs | Authorized visitor matching, trajectory review & multimodal verification | Build upon solid spatial events and evolve into advanced vision |
OPERATIONAL WORKFLOW
How an Event Flows Through the Operational Loop
Using unauthorized entry into a restricted warehouse zone as an example: See how video analytics powers the complete operational loop.
Draw Boundary
Draw virtual restricted boundaries on the camera view and save.
Continuous AI
AE-2000 ingests streams and matches target trajectories in real time.
Log Event
Alert trigger generates event cards with camera ID and timestamp.
Review Evidence
Browser displays instant snapshot and 10s evidentiary video clip.
Human Action
Security operators assess the clip and dispatch field personnel.
VMS Deep-Link
Deep-link to NVR/VMS recordings at the exact timestamp.
Optimize Rules
Review operational triggers and fine-tune spatial rule thresholds.
System Sync
Optionally sync with notification webhooks, ticketing & dashboards.
FUTURE ROADMAP
Continuous Evolution: From Spatial Events to Intelligent Vision
Our forward-looking roadmap. All identity matching, cross-camera associations, and VLM descriptions serve human review.
Face Identity Candidate Matching
Under explicit authorized consent, compares captured faces against registered whitelists for human verification.
Access Control & Attendance Integration
Exploring deep integration between perimeter passage events, access control logs, and enterprise HR attendance.
Cross-Camera Trajectory Re-ID
Synthesizes multi-camera topology and timestamps to generate plausible cross-camera trajectory candidates for manual review.
Structured Footage Search
Extends simple camera/time filters into feature-based incident searching across historical VMS archives.
Event-Triggered VLM Scene Review
Submits keyframes to Vision Language Models (VLMs) to generate human-readable scene summaries and review hints.
AiW Multi-GPU Workstation
Next-gen high-VRAM workstation series designed to serve centralized multi-stream inference and on-premise VLM processing.
CONSULTATION & PILOT
Start with One Priority Zone and One Set of Rules.
Tell us about your campus layout, existing camera models, and safety priorities. ALNETS engineers will provide hardware sizing and a live demo environment within one business day.
Request AI Surveillance Demo →