AI & Video Intelligence · AI Video Analytics

AI Video Analytics: Make Cameras Understand What They See

AI Video Analytics applies computer vision and AI to video streams to identify people, vehicles, objects and configured events.

Solution Detection · Tracking · Counting · Safety · Traffic 5 min read
AI bullet camera on a building corner projecting a vision cone onto a plaza where a person, a cyclist and a van are outlined with labelled detection boxes

Make Cameras Understand What They See

AI Video Analytics applies computer vision and AI to video streams to identify people, vehicles, objects and configured events.

Instead of relying only on people watching screens, cameras become a source of structured detections, counts and events that can feed alerts, dashboards and operational workflows. It is part of MLT’s wider AI & Video Intelligence portfolio and is powered by the DhurgAI platform.

AI Video Analytics at a glance
SolutionAI Video Analytics
Solution AreaAI & Video Intelligence
PlatformDhurgAI
InputVideo Streams from Existing or New IP Cameras
IdentifiesPeople, Vehicles, Objects & Configured Events
SectorsManufacturing · Retail · Logistics · Government · Corporate
OutputsDetections, Counts, Events, Alerts & Analytics
Solution highlights
0
Analytics capabilities
0
Typical sectors
0
Things identified
People
Detection & counting
Vehicles
Detection & traffic
Custom
Objects & events

From Video Stream to Event

Each camera stream is analysed frame by frame. What the AI detects is tracked, checked against the rules configured for that camera, and turned into an event only when something defined happens.

How AI video analytics works
1
Video StreamIP camera feed
2
DetectionPeople, vehicles, objects
3
TrackingMovement over time
4
RulesZones, lines, conditions
5
EventImage & metadata
6
Alert / DashboardReaches the right team
Cameras that record
  1. Footage stored for later review
  2. Operators scan many feeds
  3. Counts and patterns estimated manually
  4. Events found after searching
Cameras that understand
  1. People, vehicles and objects identified
  2. Configured events detected automatically
  3. Counts and occupancy measured
  4. Alerts with images sent to the right team

Capabilities

Capabilities can include:

What AI Video Analytics can do
Object DetectionConfigured object types
Person DetectionPeople in the scene
Vehicle DetectionCars, trucks, two-wheelers
Object TrackingMovement & paths
People CountingEntries, exits & totals
Occupancy AnalyticsHow full a space is
Intrusion DetectionRestricted zones
Loitering DetectionLingering beyond a set time
Safety MonitoringDefined safety conditions
PPE MonitoringHelmets, vests & more
Traffic AnalyticsFlow, counts & events
Custom Object DetectionCustomer-specific models
Construction site with AI PPE monitoring marking compliant workers with helmet and vest checks and one worker flagged for no helmet
PPE monitoring: compliant workers are confirmed and a missing helmet is flagged for follow-up

The capabilities available for a deployment depend on the AI model, camera position and quality, lighting, environment and configuration. Custom object detection is possible where an appropriate AI model can be developed and deployed.

Typical Applications

The same core analytics are configured differently for each sector, depending on what the organization needs to see and act on.

Where AI Video Analytics is used
ManufacturingWorker safety, operational monitoring & process visibility
RetailFootfall, occupancy & customer movement analytics
LogisticsVehicle, people & operational monitoring
GovernmentPublic-space & infrastructure monitoring
CorporateSecurity & workplace monitoring

Manufacturing

Worker safety, operational monitoring and process visibility. Analytics can watch restricted zones around machinery, check defined safety conditions and give supervisors visibility of activity on the line.

Automotive assembly line with a red restricted safety zone around robotic arms, workers tracked with IDs and a line status panel
Manufacturing: a restricted zone around the robot cell with workers tracked outside it

Retail

Footfall, occupancy and customer movement analytics. Entry counts, occupancy levels and movement heatmaps help teams understand how customers use the store.

Retail store from a ceiling camera with a footfall heatmap on the floor, an entry counter and a live occupancy badge
Retail: footfall heatmap, entry counts and live occupancy from existing cameras

Logistics

Vehicle, people and operational monitoring. Loading bays, forklifts, trucks and people can be detected and tracked to support safer, more visible yard and dock operations.

Distribution centre loading dock at dawn with trucks in bays, forklifts tracked by AI, bay occupancy tags and a pedestrian-forklift proximity warning
Logistics: bay occupancy, forklift tracking and a proximity warning at the dock

Government

Public-space and infrastructure monitoring. Crowd density, people counts and configured events help authorities understand activity across public spaces and infrastructure.

Busy city bus terminus with crowd density zones shaded green and amber, platform people counts and buses labelled by AI
Government: crowd density and platform occupancy across a public bus terminus

Corporate

Security and workplace monitoring. Intrusion, loitering and access-related events can be flagged across offices, campuses and parking areas.

Office basement car park at night with a person flagged for loitering for four minutes and a virtual boundary drawn near a staff-only door
Corporate: a loitering event flagged near a staff-only entrance after hours

Cameras That Understand

By applying computer vision and AI to existing and new video streams, AI Video Analytics helps organizations move from recording footage to understanding people, vehicles, objects and events as they happen.

From Camera. To Intelligence. To Action.

Planning AI video analytics?

Whether you need safety and PPE monitoring, people counting and occupancy, intrusion and loitering detection, traffic analytics or a custom object model, the right cameras, AI models and configuration are critical.

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