How it works

How Video Becomes Analytics

Digeiz turns approved camera streams into aggregated insights through on-site processing and cloud analytics.

See all platform layers See Video Infrastructure

Real-time processingOn-site serversNo raw video storageAnalytics-first model

End-to-end model

Approved video. Local processing. Business access.

The platform connects to selected video sources, processes images locally on site, generates analytics in real time, and makes aggregated insights available through dashboards and APIs.

01Approved video

02Local processing

03Analytics signals

04Aggregation

Data starts from approved video sources

Digeiz works from selected camera streams provided by the client. Streams can come from existing CCTV cameras, cameras dedicated to analytics, or integrated video management systems.

Existing CCTV camerasDedicated analytics camerasVideo management systems

Processing happens locally, on site

The most sensitive stage of processing happens on image processing servers deployed on the client site. Video frames are analyzed locally in real time, keeping processing close to the source. Raw video does not become a cloud dataset.

Real-time processingOn-site serversNo raw video storageRaw video remains local

Images become analytics signals

The platform generates counting, segmentation and pathway signals used to measure traffic, journeys, dwell time and cross-visits.

01Video stream

02Detection

03Analytics signals

04Structured metrics

Aggregated insights are centralized

Analytics are centralized in the cloud platform for storage, historical analysis and access across sites. Users interact with structured insights, not raw video.

Dashboards & reportingKPI viewsHistorical analysisAPIs & data servicesBI and media integrations

Talk to Digeiz

Want to go deeper into video infrastructure and deployment?

Talk to us about your setup See Video Infrastructure