AI surveillance
RoboDost

AI Video Analytics Platform

AI Video Analytics for Real-Time Intelligence

RoboDost turns camera feeds into timely, operational intelligence with computer vision, edge AI, and purpose-built AI video analytics software.

Real TimeSovereign AIHuman Behaviour Modelling

AI Video Analytics: Definition & Overview

AI video analytics applies computer vision to live and recorded video so teams can understand activities, events, and operational patterns without manually reviewing every frame. An intelligent video analytics system converts camera coverage from passive footage into usable information.

RoboDost is an AI surveillance platform designed for environments where real time video analytics can support faster, better-informed decisions.

From feed to insight

How RoboDost AI Video Analytics Works

Connect video feeds

Start with the camera coverage and operational context relevant to your site.

Analyse at the edge

Computer vision models process relevant activity closer to the source for responsive AI video intelligence.

Find what matters

Use event signals and prompt-based search to review behaviours and actions efficiently.

Key Use Cases

Retail operations

Identify product-loss patterns, support store teams, and turn camera coverage into actionable retail intelligence.

Industrial safety

Surface safety events and operational anomalies across manufacturing floors in real time.

Crowd awareness

Recognise relevant behaviours and incidents in busy environments without relying on face tracking.

Traffic monitoring

Transform road and junction footage into timely insights for traffic operations and planning.

Deployment & Technology

RoboDost combines computer vision models with low-energy edge IoT devices, enabling an AI surveillance software deployment tailored to each site. This approach helps a video analytics platform respond where the data is generated while fitting the realities of existing operations.

Privacy & Security

RoboDost is built to analyse behaviours and actions rather than track faces. Edge processing, deployment controls, and a bespoke implementation model help organisations apply AI video intelligence with privacy and security considerations in mind.

Results / Case Studies

RoboDost solutions are configured around the specific risks and workflows of a site—from retail shrinkage and industrial safety to crowd incident detection and traffic analysis. A pilot establishes the events, data, and operating outcomes that matter before broader deployment.

Frequently Asked Questions

AI video analytics uses computer vision to interpret video streams, detect relevant events, and provide useful real-time intelligence from camera feeds.

RoboDost can be assessed for deployment with existing camera infrastructure and configured around the environment, use case, and operational requirements.

RoboDost focuses on behaviours and actions rather than face tracking, with edge processing and deployment controls tailored to the site.

Request a Pilot

See how RoboDost AI video analytics software can be configured for your cameras, environment, and operational goals.

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