Video Sources
Compatible cameras and archives
PreCog processes supported live and recorded streams, converts detections into operational events, and gives authorized teams one place to search, review, manage, and integrate video intelligence.

Compatible cameras and archives
Detection, tracking, and models
Alerts, evidence, and workflows
Search, dashboard, and analytics

The engine analyzes supported live feeds and recorded video for meaningful objects, movement, activities, environmental changes, safety risks, security conditions, and operational anomalies.

Search AI-generated event metadata using the capabilities enabled for each deployment.
Surface the right camera and context, then connect the event to the people and systems responsible for review.
Intrusion, loitering, falls, PPE, vehicle or identity matches, objects, crowds, fire/smoke, and custom events.
Event type, time, camera, location, snapshot, associated video, priority, and workflow status.
Notifications, command centers, access control, APIs, webhooks, and supported third-party applications.
PreCog alerts provide operational decision support. Authorized teams remain responsible for reviewing context and choosing the appropriate response.
Manage analytics across large camera networks with centralized visibility and site-level control.


Bring live awareness, event management, investigations, analytics, configuration, and platform health into a central authorized interface.
Live cameras, event feed, site overview, filtering, search, incident review, and status.
Event distribution, trends, site comparisons, response statistics, safety, security, vehicle, and occupancy activity.
Extend beyond standard analytics with models designed for specialized objects, products, equipment, conditions, and events.
Specialized PPE, equipment, restricted objects, infrastructure inspection, and custom safety events.
Plants, weeds, disease indicators, animals, wildlife, product classification, and quality inspection.
Product identification, custom vehicle classes, defect visibility, and unique operational workflows.
Architecture is selected around latency, bandwidth, resilience, privacy, scale, and data-control needs.
Process close to the camera or site for lower latency, reduced bandwidth, local resilience, and restricted networks.
Operate in customer-controlled infrastructure for private networks, data control, and policy alignment.
Support centralized analytics, flexible infrastructure, multi-site scalability, and authorized remote access.
Combine edge, on-premises, and cloud components according to each site and workflow.
Connect supported security, operational, and enterprise systems while protecting existing technology investments.


Read our website privacy policy. Each customer deployment requires its own legal, privacy, cybersecurity, and operational review.
Share your cameras, sites, workflows, data-control requirements, and operational priorities with our AI Vision team.