Computer Vision: Turn video into operational context.

Turn compatible camera feeds into operational context. Detect configured events, review supporting evidence and help authorized teams respond sooner.
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computer vision
Make existing video useful for operational decisions.
Add configured video analytics to compatible existing cameras and VMS. OmniCoreOne helps teams detect selected events, investigate with video context and coordinate human-reviewed response. Each deployment is calibrated to the site and evaluated against agreed operational measures.
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Configured event detection
Review selected events with supporting video context.
Detection performance
Keep accuracy, response time, and alert reduction measurable.

Detect configured events. Support informed response.

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computer vision

Computer Vision Solutions

Context for better-informed decisions.
Configure selected scenarios around the site's priorities, camera coverage and response procedures. Evaluate performance before expanding the deployment.
Threat Detection
Configure supported event scenarios and route alerts with supporting video context to authorized reviewers.
Behavioral Intelligence
Use configured event patterns and available multi-camera context to support investigation. People remain responsible for interpretation and response.
Ethical AI Architecture
Configured scenarios can operate without facial recognition. Define permitted uses, access, retention and human review for each deployment.
Seamless Integration
Reuse compatible cameras and VMS, subject to source quality, connectivity, licensing and compute assessment.
Timing and acceptance criteria are agreed after the technical assessment.
Stage 1
Infrastructure Audit
We map your existing camera systems, identify coverage gaps, and define AI detection KPIs. Outcome: clarity on where intelligence matters most.
Stage 2
Configuration Brief
We calibrate AI models to your environment and threat scenarios. Outcome: a detection framework aligned with your safety protocols.
Stage 3
Activation Track
Roll out selected feeds and scenarios, validate alerts and onboard authorized teams against the agreed acceptance criteria.
Stage 4
Performance Review
Measure alert quality, response time and operational effort against the agreed baseline.
Vision model library
Approximately 130 AI vision models, configured for selected scenarios. Available models and activation depend on the agreed scope, camera suitability and deployment configuration.
computer vision

From raw video to
operational intelligence.

Bring configured events into context, roll out by site and scenario, and measure performance against the agreed operating baseline.
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End-to-end Visibility
Bring selected feeds, configured events and supporting evidence into one operational view for authorized review and response.
Modular Deployment Cycles
Roll out by location and scenario, using agreed acceptance criteria before expanding the deployment.
Evidence-based Alerting
Prioritize configured events with supporting context. Validate alert quality in your environment; false alerts and missed events remain possible.
computer vision

Help teams move from video review to informed response.

Connect selected camera events with evidence and human review, then measure investigation effort, alert quality and response time.
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Engineering tomorrow’s business

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