Real-world use cases from businesses leveraging Luxonis for smarter vision systems.
Case Study
MUSE Inc. built Armo, a collaborative retail mobile robot that reduces staff strain, automates inventory checks, and improves customer navigation. With Luxonis Edge AI as its "visual cortex," Armo runs perception, obstacle detection, and door recognition on-device, keeping the main PC responsive even under challenging store lighting.
These are the field-proven scenarios where OAK consistently fits best
Track foot traffic, dwell time, and shopper movement patterns to improve store layouts, staffing, and merchandising decisions.
Recommended device
OAK 4 S
OAK-1 PoE
OAK-1 USB
OAK-D PoE
Find out what advantages our products offer specifically for your industry
Run analytics and customer-experience workflows on-device so raw video does not have to move into the cloud.
Edge-only analytics
Shopper privacy friendly
Less compliance friction
Start with apps, reference implementations, and ready-to-evaluate models that help you prove an OAK-powered workflow before building everything from zero.
Fast validation tools for demographics, checkout, and shopper-flow concepts.
Ready-to-evaluate retail analytics building blocks for demographics, privacy, re-identification, attention, and people counting.
A practical baseline for demographic analytics in stores and commercial environments.
A useful privacy-preserving building block for shopper analytics and in-store computer vision.
Helpful for richer customer-experience analytics and engagement experiments.
A solid starting point for shopper-flow and repeat-visit analytics.
A useful tool for attention analytics, display testing, and interactive experiences.
A crowd-level occupancy baseline for entrances, busy aisles, and commercial venues.
A depth-aware people counting approach for entrances and traffic analysis.
A simple edge baseline for footfall counting and occupancy-aware workflows.
Ready-to-evaluate retail models for segmentation, barcode/QR reading, shopper attention, emotion, demographics, and crowd analytics.
A useful background-segmentation model for smart mirrors, kiosks, and interactive retail experiences.
A practical barcode-reading option for product scanning, assisted checkout, and inventory workflows.
A gaze-estimation model for shopper attention analytics, display testing, and interactive activations.
A useful QR-reading baseline for product info, mobile engagement, and checkout-adjacent experiences.
Useful for richer customer-experience analytics and measuring reactions to displays or activations.
A practical model for demographic analytics in stores, kiosks, and commercial spaces.
A crowd-counting model for entrances, queues, dense aisles, and occupancy-aware retail planning.