Video analytics
Event detection on existing cameras: people and vehicles, dangerous situations, violations of regulations. Missing detectors are developed for the customer's task.
Platform
One platform instead of a patchwork of systems
MU Platform brings video surveillance, video analytics, biometrics, access control, transport, mobile sources and IoT together in a single monitoring and management environment. The platform is vendor-independent: it connects equipment and analytics from different suppliers through a single API, scales with your infrastructure and runs wherever you need it – on your servers, in the cloud or in a hybrid setup.
The platform connects to existing cameras over standard protocols and does not interfere with the existing video surveillance system.
Event detection on existing cameras: people and vehicles, dangerous situations, violations of regulations. Missing detectors are developed for the customer's task.
Face-based access with liveness and deepfake detection, integration with existing access control systems, access events and video in a single console.
PPE by role and area, hazardous areas with several criticality levels, staff behavior, fire and smoke, thermal imaging monitoring of equipment overheating.
The foundation of a situation center: fixed and mobile sources on one map, monitoring of street maintenance, public amenities and the environment, objective oversight of contractors.
Cameras from different manufacturers, camera map, role-based access, browser viewing, recording to file and S3 storage, API.
A single API for equipment and analytics from different suppliers; event exchange with process control systems, SCADA, access control, ERP and PSIM.
Without quality monitoring, analytics runs on unusable data. The platform automatically finds cameras that are formally working but deliver an unusable picture:
Checks run in day and night modes and compare the picture with a reference scene. Covering, shifting, defocusing or disconnecting a camera is logged as an event – protection against sabotage. The same layer makes it possible to oversee contractors who maintain the cameras and replaces manual audits with site visits.
Detection → event → operator confirmation → incident → routing by role → follow-up → reports and prevention of repeat incidents.
Evidence is kept for every incident: a snapshot and video clip, an archive with metadata, a before-and-after comparison. Alerts are sent to Telegram and by email according to configurable rules.
The system detects and prioritizes; a responsible person makes the decision. This reduces the flow of false alarms.
On the customer's servers, in the cloud or in a hybrid setup. Data stays within the customer's perimeter.
Local nodes keep working autonomously if the connection drops. Events go to the situation center; video is sent on request. From remote sites, video is transmitted over mobile networks with multi-SIM bonding, failover and encryption.
AI analysis of recorded video: event search, incident review, flow analysis without real-time equipment. Scenarios are first tested on the archive; only confirmed ones are switched to real time.
SCADA, process control systems, PLC (OPC UA, Modbus TCP), REST API, access control systems, ERP, PSIM.
An AI assistant for video analytics data answers questions in natural language: a shift summary, an occupational safety report, anomalies. The language model runs within the company's perimeter, read-only and within the user's permissions, and is not tied to a single language model.
How we work
We analyze the customer's process and define scenarios and control points.
We run the scenario on real data and existing infrastructure.
We scale the solution and connect related systems.
We update modules, add scenarios and provide ongoing support.
Engagement models: turnkey project, module licensing, subscription, service model.
Contact
We will send you a presentation of any solution you are interested in.