IoT
“What happens when trusted sensing and physical devices become part of the system?”
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.
Capabilities
- 01Cameras, microphones, sensors
- 02Edge capture devices
- 03Raspberry Pi / embedded nodes
- 04Environment-linked verification
- 05Geolocation-aware recording
- 06Physical-to-digital trust pipelines
- 07Federated learning across devices
Offer Framing
- Mode // 01Trusted capture systems
- Mode // 02Sensor-linked evidence and verification workflows
- Mode // 03IoT-assisted identity and integrity systems
- Mode // 04Field reporting / remote verification architecture
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
Implementations
- oField reporting systems
- oEvidence capture kits
- oEvent/venue edge capture nodes
- oWearable or device-integrated streaming triggers
- oPrivacy-preserving collection from distributed premises
Current Horizon: next
Physical devices, premises, Raspberry Pi, edge learning, and data-at-the-premises processing are described in architecture but require partnership for hardware.
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
Related Products
Decast.Live
Trusted live events and media capture platform
Build with IoT
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