VMS Enterprise
Video management software. Live view, event recording and playback, with cameras organised into groups and views.
Cameras that think
Videolytical gives the cameras you already own a trained eye. They spot intruders, read number plates, catch unattended bags and alert your control room the moment it matters.
Built for smart cities and traffic, defence and paramilitary, airports and transport, retail and malls, industrial and warehousing.
What the platform does
One software stack does three jobs, from the camera to the control room.
- Manage cameras and video
- Operators watch, record and replay cameras in VMS Enterprise, the video management software (VMS). Control rooms add Command and Control for video walls, a map view and alert escalation. See the product suite.
- Understand what the cameras see
- Purpose-trained deep-learning models detect events such as intrusion, abandoned objects, missing protective equipment and traffic violations. Detections become structured metadata and real-time alerts. See the solutions.
- Deploy where the site needs it
- The same software runs on the camera or an edge box, on GPU servers inside your own network, or in the cloud. The options can be mixed in one estate. See the platform and architecture.
The product suite
Five products that work alone or together on one platform.
AI Video Analytics
Deep-learning models that detect events in live and recorded video and send real-time alerts.
Face Recognition
Face detection and real-time matching against staff, VIP or watchlist databases, on existing CCTV.
ANPR and Vehicle Intelligence
Automatic number-plate recognition (ANPR) by day and night, traffic violation detection and watchlist matching.
Command and Control
Multi-monitor video walls, a map view of cameras and alerts, escalation workflows and audit trails.
Platform overview
How the products fit together, with deployment options, integration and security.
What the analytics see
Frames of camera video with the detections drawn on them by the analytics.
A bag left alone in a terminal
The object detection module marks a suitcase left alone in a queue area. The words drawn on the frame show the abandoned-bag alert.
A rider without a helmet
Helmet detection flags a motorcycle rider on a city highway. The same module also covers triple riding and wrong-way driving, which this frame does not show.
Missing gloves on an assembly line
The personal protective equipment (PPE) module marks the bare hands of two workers. Only the gloves check is shown here. The module also covers hard hats, vests and masks.
Counting in and out at a loading dock
A counting line is drawn across a loading dock at night. Crossings of the line are counted as in or out.
Videolytical in figures
The software is designed, engineered and supported from Noida, India. It is delivered with camera and hardware makers (OEMs), security solution providers and system integrators.
- 15+ years of experience
- 50+ customers
- 10,000+ cameras integrated
- 200+ AI models trained
Where the software is used
One platform, tuned for each sector.
-
Smart cities and traffic
Helmet and traffic violation detection with number-plate evidence for traffic police, and public-area surveillance for safe-city programmes.
-
Defence and paramilitary
Perimeter intrusion detection and multi-screen control rooms with map correlation, on air-gapped networks.
-
Airports and transport
Unattended-baggage alerts and crowd monitoring for airports, railway stations and bus depots.
-
Retail and malls
Heatmaps, dwell time and people counting from the cameras a store already has, with queue-length alerts at billing counters.
-
Industrial and warehousing
Protective equipment checks and danger-zone alerts on shop floors, with in and out counting at docks and gates.
One console for an airport terminal
An anonymised case study. Customer names and site details are confidential.
A busy Indian airport terminal wanted one console for cameras across aerobridges, check-in, arrivals and airside corridors.
- Camera views
- Cameras grouped into logical views that follow the areas of the terminal
- Analytics
- Unattended-baggage and crowd analytics, running on server GPUs
- Alerts
- Sent to the terminal control room with video bookmarks
- Products
- VMS Enterprise and AI Video Analytics
From requirement to running deployment
How a project runs, step by step. Optimisation continues after handover.
-
Understanding requirements
We work with your team to map the security and analytics needs of the site.
-
Strategic planning
Architects plan an edge, on-premise or cloud layout that fits your existing infrastructure.
-
AI model design
Models are selected or trained for your events, metadata and alert rules.
-
Implementation and integration
The system is deployed with partners, calibrated and connected to the command centre.
-
Testing and optimisation
Accuracy, performance and reliability are tested, then tuned in the field.
Guides from our engineering team
Practical notes for buyers and operators on planning, deploying and tuning video analytics.
Guide
Planning a video analytics pilot: scope, measures and acceptance
What to settle before a pilot starts: the question, the cameras, the measures and the acceptance criteria.
Guide
Edge, server or cloud: where should video analytics run
The factors that decide it: connectivity, how quickly an alert is needed, data sensitivity and the number of sites.
Guide
Reducing false alarms in perimeter video analytics
Where false alarms come from, and the controls that reduce them: camera siting, zones, schedules and thresholds.
See the software on your own footage
Arrange a live demo, send a sample clip, or ask for an architecture and sizing discussion for your site.