01
Connect to approved video sources
The platform connects only to video streams selected for analytics use, from existing security cameras or cameras dedicated to audience measurement.
Security · Data Processing
How Video Becomes Analytics
Digeiz transforms video streams into aggregated insights through a processing chain designed for privacy and operational reliability. The platform connects to approved sources, processes them locally, extracts movement and behavioral signals, and delivers aggregated analytics.
01Cameras / VMS
02Local processing
03Technical transformation
04Aggregation
05Dashboards / APIs
02
Process locally, in real time
Video is processed on image processing servers deployed on the client site. This keeps the most sensitive stage close to the source and avoids unnecessary circulation of personal data.
03
Turn images into movement intelligence
The AI pipeline detects people, reconstructs trajectories, and extracts signals for traffic, movement, dwell time and pathways. Cross-camera analysis relies on appearance-based signals rather than facial identity.
04
Aggregate before delivery
Outputs delivered to clients are aggregated analytics for reporting, optimization and integration: counting, segmentation, dwell time, typical pathways, cross-visits and media performance indicators.
05
What stays — and what does not
The workflow keeps counting events, traffic and flow indicators, dwell time, pathway patterns and aggregated audience insights. It is not intended for facial recognition, named identification, identity authentication or long-term storage of raw video as an analytics output.
Used: aggregated analyticsNot used: facial recognitionNot used: identity authenticationNot used: raw video as analytics output
06
A processing model built for insight and restraint
This model produces high-value analytics while keeping personal-data handling focused, short-lived and proportionate.
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