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Retail windows & showrooms
Compare display arrangements, product presentation and creative rotations. Use observed viewer counts and estimated attention duration to investigate what earns a second look, without treating every passerby as a buyer.
For retail, media & enterprise innovation teams
Your window display. Your showroom. Your next screening. Booya turns camera-based observations into viewer counts, estimated gaze and expression trends, helping your team compare experiences beyond clicks and page views.
Attention and facial-expression signals are estimates, not proof of emotion, intent or identity. Plan consent and privacy safeguards before deployment.

Viewer counts & gaze estimates
Compare experiences over time
Custom application & API options
The business case
A busy space is not necessarily an engaging one. Go beyond how many people pass by: examine whether a display draws attention, how long that attention lasts and how observable expression patterns vary across experiences.
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Compare display arrangements, product presentation and creative rotations. Use observed viewer counts and estimated attention duration to investigate what earns a second look, without treating every passerby as a buyer.
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Design opt-in audience studies that compare attention and expression trends across screening segments. Pair these signals with surveys and qualitative feedback rather than claiming to know exactly how each viewer feels.
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Explore consent-based visual observation tools in a company’s own video application. Any therapy use requires clinical oversight and appropriate privacy review; expression analysis is not a diagnostic tool or a reliable measure of a patient’s internal emotional state.
Designed around your operation
Enterprise value comes from a defensible measurement plan. Define the decision you want to improve, the people affected and the safeguards required, then build a pilot that can answer a specific question.
Read the analytics API documentationChoose a display comparison, screening question or application workflow. Set notice, consent, access and retention requirements before collecting observations. Review applicable laws with your team.
Review camera position, lighting, field of view and the target environment. Establish which audience and gaze estimates are useful and where occlusion or viewing conditions limit interpretation.
Review trends alongside operational context and direct feedback. Use your pilot to decide what to change and whether a broader rollout is justified, without assuming correlation proves causation.
Before we talk
Booya supports camera-based viewer counts, gaze and attention estimates, and facial-expression classifications. Your pilot defines how these signals are collected and interpreted; it does not turn a camera into a direct measure of thoughts or feelings.
The engagement use cases on this page focus on face detection and observable signals, not identifying named individuals. Identity recognition and cross-location tracking are not assumed to be part of the offering.
It must not be used to diagnose conditions, infer a patient’s true emotional state or replace a clinician. Any custom healthcare application needs explicit consent, clinical oversight and an appropriate security and compliance assessment. No healthcare compliance certification is claimed here.
Booya provides an analytics API and SDK documentation. We can scope the interface, deployment approach and data handling around your environment. Camera suitability, performance, retention controls and contractual requirements are reviewed before rollout.
Your next move
Bring one display, one screening or one application concept. We’ll help define the measurement plan, the integration and the criteria for a useful pilot.