Run privacy-conscious AI vision across traffic, transit, parking, municipal monitoring, and city fleets with low-power devices built for year-round outdoor deployment.

Safer streets,
smarter infrastructure

Run privacy-conscious AI vision across traffic, transit, parking, municipal monitoring, and city fleets with low-power devices built for year-round outdoor deployment.

Case Studies

Real-world use cases from businesses leveraging Luxonis for smarter vision systems.

Delicode

Case Study

Delicode logo

Delicode

Delicode is a Finland-based computer vision company helping cities make better use of their streets, sidewalks, and curbs. Their Signals Flow platform delivers real-time, privacy-compliant insights about urban mobility without relying on surveillance or video storage.

Hivemapper

Case Study

Hivemapper logo

Hivemapper

Hivemapper is building a decentralized, global map network that is fresher and more scalable than traditional fleet-based systems. Their dashcams and contributor ecosystem capture street-level imagery to power real-time map updates.

Proven applications for
Smart Cities & Transportation

These are the field-proven scenarios where OAK consistently fits best.

Traffic Monitoring

Traffic Monitoring

Analyze vehicle flow, detect incidents, and support dynamic traffic control with real-time edge perception.

Customer Story

Why Choose Luxonis

Find out what advantages our products offer specifically for your industry.

Privacy-first edge processing

Privacy-first edge processing

Keep sensitive city video on-device and send only the metadata you actually need for traffic, safety, or mobility workflows.

Bandwidth-efficient deployments

Bandwidth-efficient deployments

Sending counts, detections, and events instead of full video streams cuts cellular costs and simplifies large-scale rollout economics.

Simplified Fleet Management

Simplified Fleet Management

Use Luxonis Hub to remotely manage fleets of cameras spread across cities by pushing OTA updates, collecting data, and deploying models.

Rugged outdoor hardware

Rugged outdoor hardware

PoE-ready, enclosure-friendly devices hold up in rain, snow, heat, and street-level infrastructure deployments.

Nighttime reliability

Nighttime reliability

High-sensitivity sensors and active capabilities keep perception useful under dim streetlights, tunnels, and overnight operations.

Validate faster with prebuilt examples

Start with apps, reference implementations, and ready-to-evaluate models that help you prove an OAK-powered workflow before building everything from zero.

OAK Examples

Ready-to-evaluate examples for transportation awareness, parking, and public-space analytics.

Final PoC
Fatigue Detection

A useful baseline for smart dashcams, driver-awareness workflows, and incident prevention.

Final PoC
Blur Faces

A practical privacy layer for public-space deployments and recorded analytics pipelines.

PoC
Text Blur

Useful for privacy-conscious workflows that need to redact plate or signage text downstream.

PoC
Crowd Counting

A practical baseline for pedestrian volume analytics in transit hubs and public spaces.

PoC
Depth People Counting

A depth-aware people-counting reference for stations, entrances, and public venues.

PoC
People Counter

A simple edge baseline for traffic counting and public occupancy monitoring.

PoC
License Plate Recognition

A practical starting point for smart parking, access, and transport monitoring workflows.

Strong starting point
General OCR

A useful baseline for text detection and recognition across roadway and transport workflows.

Strong starting point
YOLOP

A strong base for vehicle detection, road segmentation, and lane awareness in fleet applications.

Model Zoo

Ready-to-evaluate models for OCR, vehicle understanding, lane analysis, safety alerts, LPR, and crowd analytics.

Paddle Text Recognition
Model Zoo
Paddle Text Recognition

A practical OCR model for roadway text, municipal signage, and transport-infrastructure reading.

Vehicle Attributes Classification
Model Zoo
Vehicle Attributes Classification

Useful for classifying vehicle properties in traffic, fleet, parking, and curbside analytics.

Ultra-Fast Lane Detection
Model Zoo
Ultra-Fast Lane Detection

A lane-understanding model for smart dashcams, fleet perception, and roadway monitoring.

Fire Detection
Model Zoo
Fire Detection

A useful early-warning model for public-safety monitoring in transit, roadside, and civic environments.

License Plate Detection
Model Zoo
License Plate Detection

A plate-localization model for parking, access control, transport analytics, and curbside workflows.

YOLOP
Model Zoo
YOLOP

A strong combined road-scene model for vehicles, drivable area, and lane-aware city deployments.

DM-Count
Model Zoo
DM-Count

A crowd-counting model for stations, sidewalks, public venues, and passenger-flow analysis.

Contact Our Team

Our dedicated team is available for technical support, business solutions, and more. Let us provide the help you need.