Consumerscout — Privacy-first AI analytics for digital signage and retail

The engagement measurement gap

Businesses struggle to quantify what’s actually happening in front of their screens.

Effectiveness of digital signage campaigns is hard to quantify.

Traditional methods deliver delayed, aggregated data.

Privacy regulations limit conventional tracking.

Content cannot dynamically adapt to real-time audiences.

Retailers lack accurate foot traffic and engagement analytics.

How Consumerscout works

Three steps, privacy reinforced at every stage.

STEP 01

Install

Plug a standard USB camera into your existing Windows, Linux or Android device. No specialized hardware required.

STEP 02

Analyze on-device

The local engine counts traffic, estimates age and gender, recognizes emotions, measures attention and dwell time, and detects eyewear — all in real time.

STEP 03

Act in real time

Stream results via gRPC into your CMS, signage system, or dashboard. Adapt content instantly or feed analytics back for post-analysis.

At no point does Consumerscout store, upload, or transmit any image, facial feature, or personal data.

Tailored Solutions for Your Industry

Specific applications built on the same privacy-first foundation.

Retail Stores

Customer flow analysis
Product placement optimization
Peak time management
Sales correlation

Digital Signage & DOOH

Audience measurement
Content optimization
Engagement tracking
Campaign analytics

Shopping Malls

Visitor demographics
Traffic patterns
Tenant analytics
Engagement metrics

Marketing Agencies

Campaign measurement
ROI verification
Audience insights
Real-time optimization

Why Consumerscout

Side-by-side against traditional cloud-based solutions.

Feature	Traditional solutions	Consumerscout
Data privacy	Cloud processing, storage risk	On-device, nothing stored or transmitted
Real-time capabilities	Delayed, aggregated reports	gRPC streaming, instant analytics
Integration	Specialized hardware needed	Standard USB camera, flexible API
Analytics depth	Basic counts	Footfall, demographics, emotions, attention, dwell time, glasses
Cost	High upfront, limited scalability	Tiered subscription
Implementation	Proprietary, limited customization	Open gRPC API, any language

Technical specifications & integration

Architecture & platforms

C++ core (Java/JNI on Android)
Communication: gRPC, JSON for all requests and responses
Two operational modes: on-demand and streaming
Supported platforms:
- Windows 10 and above
- Ubuntu 22.04 and above
- Android 7.0 (Nougat) and above
- Raspberry Pi OS (Debian 12 Arm64)
Camera: any standard USB camera

What you can measure

Foot traffic and people count
Age estimation
Gender estimation
Emotion detection
Dwell time
Attention time
Glasses and sunglasses detection
Camera obstruction monitoring

Transparent, volume-based licensing

Licenses	Annual subscription per license
1 – 100	€120
101 – 1,000	€100
1,001 – 2,500	€80
2,501 – 5,000	€60
5,001 – 7,500	€40
7,501 – 10,000	€20

Each license valid for one year from activation.
Volume tier represents minimum annual commitment.
Custom enterprise terms available above 10,000 licenses.

Three-step engagement model

1. Initial consultation

Technical assessment to evaluate integration requirements and expected business impact.

2. Pilot program

Limited-scale implementation using existing hardware, no significant upfront investment.

3. Full deployment

Structured rollout with technical support, typically completed in days rather than weeks.

The team

A B2B technical product, built by the people you’ll work with.

About Protech. A team of computer vision and machine learning experts with 15+ years of scientific and applied research. Software development across desktop, mobile, embedded, cloud and web. Cooperating with hardware/software engineering firms, marketing agencies, and universities.