On-device processing
Configured vision analysis runs on the connected edge device rather than sending a camera video feed to the aiAdFlux dashboard.
Optional on-device intelligence
Understand attention around your screens without sending video to the dashboard. Aggregate audience context, processed at the edge.
Add an optional camera to approved placements and analyse people-seen, hourly, audience-range, and impression trends alongside screen and campaign data.

Answer engine summary
AI vision audience analytics uses a camera and on-device processing to estimate aggregate viewing patterns near a digital display. In aiAdFlux, configured vision signals are processed locally and non-identifying metadata is presented through dashboards and reports. Teams can study people-seen totals, estimated unique counts, hourly patterns, audience ranges, and impressions without using the feature as facial recognition, identity tracking, surveillance, or an automated decision system.
Relevant capabilities
The screen experience is purpose-built for this environment, while publishing, scheduling, monitoring, and reporting stay connected.
Configured vision analysis runs on the connected edge device rather than sending a camera video feed to the aiAdFlux dashboard.
Review total and estimated unique people seen, hourly patterns, top screens, and distribution summaries.
Compare configured cameras and reporting periods to understand where and when audience patterns change.
Include available AI-supported impression fields alongside media play, screen, location, and date-range reporting.
Where screens fit
Operating outcomes
See how aggregate people-seen patterns vary by hour, day, campaign period, or operating window.
Compare selected cameras and top-screen summaries to identify placements that warrant deeper review.
Add available impression context to the playback evidence already generated by the signage platform.
Keep the analytics workflow centred on local processing and aggregate metadata rather than cloud video storage.

Audience context processed on-device
Enterprise platform operations · AI vision analytics
Give marketing, operations, and IT one implementation rhythm from content preparation and scheduling through screen monitoring, reporting, and the optional AI vision review process.
How it runs
Move from setup to measurable delivery in one operator flow. Explore each stage to see the real aiAdFlux interface behind it.
A connected operating model
The practical difference is not only the display. It is how content, timing, locations, evidence, and optional audience context stay coordinated.
On smaller screens, scroll this comparison horizontally to review all columns.
Advanced AI vision
aiAdFlux presents audience analytics as estimates and aggregate trends. Results depend on camera position, scene, lighting, occlusion, configuration, and operating conditions, so teams should document methodology and validate the deployment before using data in decisions or client reports.
Privacy-first product design: the documented workflow processes detections locally and is designed to use aggregate analytics instead of a stored video or face-image archive. Venue owners remain responsible for their own legal, notice, and deployment review.


Product evidence
This optimized capture comes from the current aiAdFlux product documentation. It gives operations, marketing, and IT teams a concrete screen to discuss during the rollout.
Compare all solution categoriesIndia rollout estimator
Adjust 2–5 CMS licences and the AI Camera count to see an indicative monthly software subtotal. Bulk orders are quoted separately.
Software estimate only. The ₹199 bulk rate is not applied here because order eligibility and minimum quantity must be confirmed with sales. Taxes, displays, players, cameras, connectivity, installation, and custom work are excluded.
Buyer questions
The documented architecture processes configured AI vision signals on-device and sends anonymised aggregate metadata, not recorded video, to the dashboard. Deployment configuration should still be verified during implementation.
The current interfaces show total people, estimated unique people, recent batch counts, top screens, hourly people seen, gender distribution, age distribution, and impression fields in media reports.
No. aiAdFlux presents the feature for aggregated audience analytics, not identity recognition, individual tracking, account matching, access control, or automated decisions about people.
No universal accuracy percentage is claimed. Results vary with camera angle, distance, lighting, occlusion, crowd density, device, configuration, and environment, so each placement should be validated and limitations disclosed.
Optional AI Camera licensing is ₹799 per camera/month. Core digital signage is ₹299 per screen/month for 2–5 licences or ₹199 per screen/month for bulk orders. GST/taxes, cameras, screens, players, mounts, installation, and connectivity are excluded.
Plan an India-first pilot
Bring one location and one campaign brief. We’ll connect the content, screen groups, schedules, playback reporting, and optional AI vision workflow.