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Case Study
AI-Driven Spatial Analytics for Digital Signage
Real-time audience measurement and spatial analytics running directly on edge cameras — streaming insights via Kafka to cloud dashboards without transmitting raw video.
The Challenge
A global retail chain wanted to maximize the ROI of its expensive in-store digital signage.
The client needed a solution that could:
- Personalize signage content based on anonymous audience profiles.
- Provide marketers with real-time analytics on engagement.
- Strictly comply with global privacy regulations (GDPR, CCPA).
The Solution
NSigma designed and deployed an AI-powered facial analysis platform built around anonymity and edge-only processing:
Computer Vision Pipeline
OpenCV + CNN-based demographic classifiers detected age bands, gender, and dwell time, never storing or transmitting biometric data.
Edge-first Deployment
Dockerized microservices ran on local signage units, ensuring compliance by keeping processing on-site.
Marketing Dashboard
A custom React + D3.js interface let marketing teams monitor campaign effectiveness in real time, comparing engagement across stores and promotions.
Dynamic Content Integration
The system linked with CMS platforms so signage could instantly switch to the most relevant promotion.
The Results
40%
Campaign engagement rates increased as promotions became more relevant.
Days
Regional managers could A/B test campaigns live, cutting experimentation cycles from weeks to days.
Zero PII
Compliance officers verified that no personally identifiable information was ever stored.
Strategic
Insights fed back into long-term marketing strategy, reshaping how digital campaigns were budgeted.
Why It Matters
Retailers spend millions on digital signage but often treat it as static billboards. This project proved that when paired with responsible AI, signage becomes a two-way intelligence system.
Ready to make your cameras intelligent?
Let's discuss how computer vision can transform your operations.
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