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Security Systems · Video Analytics
AI-powered video analytics transforms raw camera footage into real-time alerts, searchable intelligence, and operational insight — reducing false alarms and catching what manual monitoring misses.
Works with existing cameras where possible • Edge and server-based options • Vendor-agnostic
95-98%
Of traditional motion-based alarms are false positives
24/7
Automated monitoring, no manual review
12+
Analytics types across our camera partners
85%+
Of adopters report ROI within the first year
What It Replaces
Traditional CCTV only records. Someone has to be watching the right feed at the right moment, or reviewing hours of footage after an incident already happened. Video analytics closes that gap by having AI watch every feed, all the time.
Motion-only detection triggers on wind, shadows, and weather
✓AI object classification alerts only on people and vehicles
Incidents are discovered hours later during manual review
✓Real-time alerts trigger the moment an event happens
Finding one clip means scrubbing through days of footage
✓Forensic search by object, attribute, or direction of travel
Cameras degrade silently — a lens gets blocked and nobody notices
✓Automated video health monitoring flags issues immediately
Capabilities
Matched to your site — from a single entrance to a full perimeter.
Deep learning models distinguish people, vehicles, and other objects in real time — filtering out irrelevant motion like foliage, weather, or animals before an alert is ever raised.
Key Benefit
Fewer false alarms, faster response to real events
Virtual tripwires, restricted zones, and loitering detection along fences, rooftops, and site boundaries — with long-range detection for large outdoor perimeters.
Key Benefit
Stop intrusions before they reach critical areas
Track footfall, queue lengths, dwell time, and real-time occupancy across entrances, retail floors, and common areas — with historical trend reporting.
Key Benefit
Data-driven staffing, layout, and capacity decisions
Automated plate capture and matching against allow-lists, blacklists, or visitor databases for gates, car parks, and loading bays — day or night, any weather.
Key Benefit
Frictionless, auditable vehicle access control
Privacy-conscious face detection for access verification and loss-prevention workflows, configurable to meet local data protection requirements.
Key Benefit
Verify identity without slowing down entry
AI-powered sound classification — aggression, glass breaking, gunshots, or raised voices — to trigger alerts in areas where cameras alone can miss context.
Key Benefit
Catch incidents cameras can't see coming
Radar-camera fusion delivers accurate speed and distance data in low light, fog, or rain — where video-only analytics typically degrade.
Key Benefit
Reliable detection regardless of weather or lighting
Flags individuals lingering in restricted or sensitive zones beyond a set duration, and detects unauthorised tailgating through access-controlled doors.
Key Benefit
Close the gap access control alone can't cover
Measures crowd density to flag bottlenecks before they become safety issues, and flags static objects — bags, pallets, vehicles — left in monitored areas.
Key Benefit
Prevent crowd-crush risk and unattended-item threats
Dynamic, real-time masking of faces, license plates, or defined zones — so footage stays useful for security while respecting privacy and compliance obligations.
Key Benefit
Balance surveillance needs with privacy compliance
Turn months of footage into pattern analysis — traffic flow, peak hours, and hotspot heatmaps — surfaced in dashboards your operations team actually uses.
Key Benefit
Spot trends that manual review would never catch
Continuous automated checks for camera tampering, focus loss, obstruction, or signal degradation — so blind spots get flagged and fixed before they matter.
Key Benefit
Confidence that every camera is actually working
Why It Matters
Analytics run continuously in the background, surfacing the events that matter and triggering automated responses — no operator has to watch every feed.
Search recorded footage by object type, colour, direction, or attribute instead of scrubbing through hours of video after an incident.
Occupancy, footfall, and dwell-time data feed directly into staffing, layout, and capacity planning decisions beyond security alone.
Modern analytics run on-camera. Adding intelligence to your estate doesn't mean adding racks of servers or re-architecting your network.
How It Runs
Most deployments use a mix, depending on the use case and network conditions.
Processing happens directly on the camera's onboard chip. Detection is instant, bandwidth stays low since only metadata and alerts travel the network, and the system scales camera-by-camera without added server load.
Heavier workloads — large-scale facial matching, cross-camera analytics, or long-term pattern analysis — run on a central VMS server on-site, giving the fastest local response times for complex, estate-wide use cases.
Cloud and edge-cloud models add flexible scaling and remote multi-site monitoring without on-site server maintenance. Fibre-backed edge-cloud options keep latency low while retaining data sovereignty.
Where It's Heading
The newest generation of video analytics pairs vision-language models with large language models, so systems reason about a scene in natural language rather than only matching predefined objects and rules. Instead of configuring a rigid detection zone, an operator can ask a plain-language question — "show me anyone who left a bag unattended near the loading bay after 9pm" — and get an answer.
This shifts analytics from reactive alerting toward proactive, searchable, and explainable video intelligence — and it's an area AGR Networks is actively tracking as it matures for commercial deployment.
Industries
Guest safety, lobby and pool monitoring, queue management at check-in, and back-of-house access verification.
Loss prevention, footfall and dwell-time analytics, queue length alerts, and after-hours intrusion detection.
PPE compliance monitoring, restricted zone enforcement, vehicle and forklift tracking, and perimeter protection.
Tailgating and access verification, visitor flow analytics, and 24/7 automated perimeter monitoring for branches and offices.
Restricted area enforcement, patient and visitor flow analytics, and discreet, privacy-compliant monitoring of sensitive zones.
Campus perimeter security, crowd and occupancy monitoring, and automated after-hours intrusion alerts.
Our Methodology
Review your existing camera estate, coverage gaps, network capacity, and the specific analytics outcomes you need.
→ Analytics readiness report
Match the right analytics types to each zone — perimeter, entrances, retail floor, car park — and confirm edge vs server deployment.
→ Zone-by-zone analytics plan
Deploy or upgrade cameras, configure detection zones, thresholds, and integrations with your VMS and access control.
→ Fully configured analytics estate
Calibrate sensitivity against real site conditions to minimise false positives before go-live, with side-by-side validation.
→ Validated, low false-alarm system
Train your security and operations teams on dashboards, alerts, and forensic search, with full documentation delivered.
→ Confident, self-sufficient team
Firmware updates, model retuning, and 24/7 technical support as your site and requirements evolve.
→ Analytics that stay accurate over time
Common Questions
Everything you need to know about video analytics, deployment, and ongoing tuning.
Ask a specific questionWe deploy AI video analytics across leading camera platforms — vendor-agnostic, matched to your site.
Get a free assessment of your current camera estate and a tailored analytics plan — which zones need what, and what it takes to deploy it.
No obligation. No sales pitch. Just expert guidance.