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Optional on-device intelligence

AI Vision Audience Analytics India

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.

CMS from ₹199 per screen/monthBulk-order rate; ₹299 for 2–5 licences. Taxes and hardware excluded. Optional AI Camera ₹799/month.
Commercial display with a discreet edge camera in an Indian retail environment
Illustrative Indian venue setup · screen content uses sample data
Synchronized previewDisplay matched
Camera-enabled displayNew Season Arrivals
Featured collection from₹1,299

Answer engine summary

What is AI vision audience analytics for signage?

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

What teams need for ai vision analytics.

The screen experience is purpose-built for this environment, while publishing, scheduling, monitoring, and reporting stay connected.

On-device processing

Configured vision analysis runs on the connected edge device rather than sending a camera video feed to the aiAdFlux dashboard.

Audience trend dashboard

Review total and estimated unique people seen, hourly patterns, top screens, and distribution summaries.

Camera and date filters

Compare configured cameras and reporting periods to understand where and when audience patterns change.

Campaign impression context

Include available AI-supported impression fields alongside media play, screen, location, and date-range reporting.

Where screens fit

Plan content around real venue zones.

  • Retail entrances and promotional screens
  • Mall, cinema, and hospitality media zones
  • Approved transport and public display areas
  • Counters, waiting zones, and venue lobbies

Operating outcomes

Give each screen a clear job.

Time-window comparison

See how aggregate people-seen patterns vary by hour, day, campaign period, or operating window.

Screen-location context

Compare selected cameras and top-screen summaries to identify placements that warrant deeper review.

Richer media reports

Add available impression context to the playback evidence already generated by the signage platform.

Privacy-conscious architecture

Keep the analytics workflow centred on local processing and aggregate metadata rather than cloud video storage.

Indian digital signage operators reviewing a content scheduling and media workflow
Camera-enabled displayIllustrative sample data
New Season Arrivals

Audience context processed on-device

Featured collection from₹1,299
PlacementStore entranceCampaignCreative A
AI estimates do not identify people or prove attention, sales, or conversion.
Illustrative India-based digital signage operations workspace · screen content is illustrative sample data

Enterprise platform operations · AI vision analytics

Connect campaign planning, device operations, and evidence.

Give marketing, operations, and IT one implementation rhythm from content preparation and scheduling through screen monitoring, reporting, and the optional AI vision review process.

  • Shared operating contextKeep content, screens, groups, schedules, and reporting connected.
  • Repeatable workflowMove from one-off publishing to a process teams can use across locations.
  • Measurable handoffDefine what teams will review after a campaign or rollout window closes.

How it runs

One continuous workflow. Three clear stages.

Move from setup to measurable delivery in one operator flow. Explore each stage to see the real aiAdFlux interface behind it.

Live product workflow01 / 03
aiAdFlux pair-new-screen workflow with naming, location, configuration, and licence controls
ConnectSee the whole screen estate at a glance

A live control view keeps screen ownership, health, and rollout scope visible from day one.

Actual aiAdFlux product interface · shown without cropping

A connected operating model

Move the ai vision analytics workflow beyond USB and one-off updates.

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.

Operating taskManual approachaiAdFlux workflow
Update contentVisit the screen or send files to each locationPublish approved media remotely from one workspace
Change by timeAsk staff to swap content manuallySchedule dates, dayparts, recurring hours, and campaign windows
Coordinate locationsMaintain separate device-by-device instructionsTarget screens through named venue, city, floor, or campaign groups
Confirm deliveryRely on photos or verbal confirmationReview screen state and available proof-of-play records
Understand contextUse observation or separate researchOptionally compare aggregate on-device AI audience trends

Advanced AI vision

The AI vision capability at a glance

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.

Total people seenEstimated unique people seenHourly and top-screen trendsAge-range and gender distributions

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.

Explore how AI vision works
aiAdFlux aggregate audience analytics dashboard
On-device processingDesigned for aggregate metadata
aiAdFlux AI audience analytics dashboard with people-seen, hourly, screen and demographic-range charts

Product evidence

See the ai vision analytics solution in a real operator workflow.

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 categories

India rollout estimator

Plan a transparent INR software budget.

Adjust 2–5 CMS licences and the AI Camera count to see an indicative monthly software subtotal. Bulk orders are quoted separately.

2–5 licences · ₹299 each/monthBulk order · ₹199 each/month · sales confirmed
CMS Platform2 × ₹299
AI vision0 × ₹799
Indicative monthly subtotal₹598
Indicative annual projection₹7,176

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

Questions teams ask before this rollout.

Does aiAdFlux record or upload camera video for analytics?

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.

Which audience metrics are available?

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.

Is the AI Camera a facial-recognition system?

No. aiAdFlux presents the feature for aggregated audience analytics, not identity recognition, individual tracking, account matching, access control, or automated decisions about people.

How accurate are the audience estimates?

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.

How much is the AI vision add-on in India?

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

Plan a real-venue rollout for ai vision analytics.

Bring one location and one campaign brief. We’ll connect the content, screen groups, schedules, playback reporting, and optional AI vision workflow.

  • Scope one real venueMap screens, zones, owners, and one campaign objective.
  • Separate the commercial scopeKeep software, hardware, installation, taxes, and custom work explicit.
  • Agree the operating boundaryReview publishing, reporting, support, and optional AI responsibilities.