01
Capture
Opt-in smartphone cameras observe localized movement, assets, and conditions without requiring fixed infrastructure.
Technology / edge intelligence
Intelligence begins before the cloud.
åk.com AI turns ordinary smartphone cameras into a distributed visual telemetry layer. Every capture is processed at the edge, reduced to anonymous metadata, and routed only when it is useful.
Signal protocol
Capture → Redact → Extract → Deliver
A privacy-first signal path.
02
Redact
Lightweight on-device vision models detect and blur faces and license plates before a frame leaves the device.
03
Extract
The edge converts visual context into high-fidelity anonymous metadata, including counts, classes, direction, and conditions.
04
Deliver
Validated datastreams are delivered to enterprise systems with traceable governance controls and audit-ready provenance.
Edge anonymization
Privacy is an architectural decision.
No raw visual stream is required to create useful intelligence. åk.com AI applies redaction at the point of capture, then transmits only the anonymous, decision-ready signal required by the destination workflow.
Face and plate redaction
Applied on-device before cloud transit.
Data minimization
Only task-relevant metadata is retained.
Traceable governance
Every model and delivery event is auditable.
Performance profile
Built for movement, not lab conditions.
< 250 ms
edge-to-signal latency
99.98%
redaction coverage target
30 sec
localized capture window
0
owned cameras required
Technical brief
The decentralized visual telemetry network.
A concise overview of the architecture, edge anonymization methodology, governance model, and enterprise deployment approach behind åk.com AI.
Read Technology Whitepaper