Prism — Capture
Connect virtually any camera. Define what matters. Monitor at scale.
Prism is hardware agnostic — connect IP cameras, CCTV, drones, mobile devices, industrial cameras, and VMS-integrated feeds without replacing existing deployments. One camera can run multiple computer vision models simultaneously, generating different insights for different teams from the same stream.
Hero: camera connection interface alongside monitored asset registry — camera feed thumbnails with model assignment badges, asset list with detection status indicators.
Camera Connections
Connect IP cameras, CCTV feeds, and VMS-integrated sources without replacing existing deployments. Prism ingests streams via cloud, edge, or hybrid — whichever matches your site architecture and data requirements.
- IP camera and CCTV connectivity (RTSP, ONVIF)
- VMS integration for existing video management infrastructure
- Edge-connected cameras via Streamer Box (cloud or on-premise processing)
- Contextual sensor data via MQTT and Modbus for environmental context at edge
- Connection health monitoring and stream gap detection
Connectivity diagram: camera types (IP camera, CCTV, VMS, edge-connected device) connecting into Prism platform, showing cloud and edge ingestion paths.
Asset & Area Registry
Define the physical assets and areas your cameras monitor. A monitored asset could be a single piece of equipment — a crusher, a conveyor, a substation — or a camera covering a broader area such as a site perimeter, haul road, or processing zone. Either way, it carries a structured record.
- Asset and monitored area definitions with structured attributes
- Camera-to-asset or camera-to-area assignment
- Geospatial location per asset or area
- Full detection history per monitored entry
- Classification and tagging for filtering and portfolio-level reporting
Asset/area registry interface: Asset Name, Type, Location, Camera Assigned, CV Model, Last Detection, Status.
CV Model Assignment & Configuration
Assign the computer vision models suited to each asset class or monitored environment. Configure detection parameters, confidence thresholds, and operating conditions — so Prism surfaces what you need to know, not everything the camera sees.
- Model selection per asset class or area type
- Detection parameter and confidence threshold configuration
- Day/night and variable environmental condition handling
- Model version control and deployment management
- Shared model library for common industrial asset classes and environments
Alert Rule Configuration
Define the conditions that move a detection into an alert. Multi-condition rules, severity classification, and routing by role, asset, or site — so the right people or systems receive the right information at the right time.
- Multi-condition alert rule definition
- Severity classification and escalation paths
- Notification routing by role, asset class, or site (email, SMS, mobile push)
- Integration alert routing to SCADA and operational systems
- Maintenance window and suppression rule management
- Full alert configuration audit trail
How it fits into the Prism workflow
Camera & Asset Setup is the foundation of every Prism monitoring program. Every downstream capability — live monitoring, AI detection, analytics output, and alert routing — operates on the cameras, assets, and parameters configured here.
Workflow position
- Capture
- Monitor
- Detect
- Act
Outcomes
- Faster deployment — connect existing cameras and assign models without infrastructure replacement
- Consistent monitoring quality — standardized model and alert configurations applied across every asset of a class
- Complete coverage — every monitored asset and area defined, configured, and tracked
- Audit-ready configuration records — every model assignment, parameter change, and alert rule logged and traceable