Structured vision for builders and integrators.
Hive exposes structured visual events that can power applications, automations, dashboards, and operational workflows.
Spatial awareness • Behavioral events • Queryable history
Build with structured visual events
Hive transforms camera activity into structured, machine-readable events that can be consumed by external systems
Instead of working from raw footage or generic motion alerts, developers can work with meaningful event outputs tied to space, time, behavior, and context.
What Hive exposes
Hive makes vision data usable beyond the camera feed.
Structured events
Behavioral events represented as usable application data.
Spatial context
Zone-aware event information tied to where activity occurred.
Temporal history
Event records that capture time, duration, and sequence.
Automation-ready outputs
Outputs that can feed workflows, dashboards, and downstream systems.
Designed for integration
Hive fits into modern operational and product stacks by exposing structured event data that can be consumed by internal tools, external applications, automations, and monitoring workflows.
Integration patterns
- Dashboards
- Alerts
- Workflow engines
- Internal tools
- External apps
- API consumers
Core capabilities
Understand activity within defined zones and environments.
Spatial awareness
Understand activity within defined zones and environments.
Object tracking over time
Follow movement across time, not just isolated moments.
Behavioral event detection
Detect meaningful patterns instead of generic motion.
Queryable history
Search and retrieve visual events as structured data.
Automation-ready output
Use detected events to trigger workflows and downstream actions.
API and integrations
Connect Hive to products, dashboards, and external systems.
Biometric signature
Facial recognition, and fingerprint recognition integration.
Digital & Wireless signature
Presence detection based on Wi-Fi and Bluetooth
Telemetry and Analytics
Data and telemetry on connected devices, battery, health, and offline.
Structured outputs, not generic alerts
Hive represents visual understanding as structured event data that can describe what happened, where it happened, when it happened, and how long it lasted.
Example event records
- Person entered entry zone at 3:42 PM
- Occupancy threshold exceeded in workspace
- Object remained in restricted area for 90 seconds
- Path crossed from loading zone to exit corridor
- Non resident detected in living room
- New wireless signature detected
- Presence detected in office - Confidence: 95%
- Object last seen in living room at 2:15 PM
- Person 02 zone: living room at 10:12 AM > zone: kitchen 10:17 AM
- Unrecognized personnel, new profile created
- 4 objects on kitchen counter, zone activity normal
- No presents detected, alarm set, executed away routine at 6:12 PM
- Presence detected in restricted zone, incident report created
- 7:15 PM, bio recognition unsuccessful, checking for wireless signature
Built for operational environments
Hive is designed for environments where reliability, context, and actionable outputs
matter more than passive recording.
Local-first friendly
Useful where privacy or local processing matters.
Operationally usable
Built around events that can be consumed by systems and teams.
Extensible by design
Fits into broader automation and application workflows.
Explore the API and developer resources.
Review the API, understand the event model, and see how Hive can fit into your workflows.