IoT and Data
What happens when trusted sensing and physical devices generate source data?
The capture and source layer: devices, sensors, cameras, microphones, edge premises, and raw data generation. Physical devices, premises, Raspberry Pi, edge learning, and data-at-the-premises processing bridge the physical and digital worlds.
Architecture Blocks
Capabilities
- Cameras, microphones, sensors
- Edge capture devices
- Raspberry Pi / embedded nodes
- Environment-linked verification
- Geolocation-aware recording
- Physical-to-digital trust pipelines
- Federated learning across devices
What We Offer
Offer Framing
- Trusted capture systems
- Sensor-linked evidence and verification workflows
- IoT-assisted identity and integrity systems
- Field reporting / remote verification architecture
Research Environment
Experiments
- ->Trusted field capture pipelines
- ->Sensor-linked verification events
- ->Edge recording with geolocation and time attestations
- ->Raspberry Pi field node pilots
- ->Capture device identity binding
- ->Local-premises media processing without cloud data export
Production Pathways
Implementations
- oField reporting systems
- oEvidence capture kits
- oEvent/venue edge capture nodes
- oWearable or device-integrated streaming triggers
- oPrivacy-preserving collection from distributed premises
Maturity: next
Physical devices, premises, Raspberry Pi, edge learning, and data-at-the-premises processing are described in architecture but require partnership for hardware.
Applications
Sample Use Cases
Field journalism with verified capture devices
Environmental monitoring with tamper-proof sensors
Secure physical access with biometric verification
Supply chain tracking with authenticated IoT nodes
Products
Related Products
Decast.Live
Trusted live events and media capture platform
Build with IoT and Data
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