Computing Power at the Source
We bring the computing power to the source. Instead of streaming video to a distant cloud, all AI analysis happens on edge devices located on-site. Raw camera feeds never leave your premises; only insights like people counts are transmitted. This ensures ultra-low latency and unparalleled privacy.
Edge Architecture
Data flows from camera to edge device where AI processing happens locally, then only anonymized insights reach the cloud
Camera
Video Feed
Edge Device
AI Processing
✓ Video stays local
Cloud
Insights Only
Key Insight: Raw video never leaves the edge device. Only anonymous metrics (e.g., "47 people in Zone A") are transmitted to the cloud dashboard.
Why Edge AI?
Six compelling reasons to process at the edge
Privacy & Data Sovereignty
No sensitive footage uploaded or stored off-site. Reduces risk of leaks. Anonymized metrics leave the device. Clients retain full control of data on their infrastructure.
Low Latency
Analysis done within milliseconds. Crucial for live alerts. No internet lag.
Bandwidth Efficiency
Compresses heavy video into lightweight data (numbers/events). Network stays free for other traffic.
Resilience
System works even if internet goes down. Locally stored results sync when connectivity returns. Vital for critical infrastructure.
Scalable
Modular approach; add devices to scale without straining a central system.
Future-Proof
Aligns with data governance trends favoring local processing and user control.