The Open Source Traffic Monitor

Open Source roadway object detection and radar speed monitoring.

Start collecting the data your community deserves. Be Counted.

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Features

Machine Learning

Edge ML-powered for fast object detection right on the device with a powerful AI co-processor.

Doppler Radar

Designed with a Doppler radar sensor for speed and direction reporting; certified alongside law enforcement radar detectors.

Privacy-Focused

You control what you share. All data is generated on the device. No cloud required.

Permanent Deployment

Long-term deployment in weatherproof enclosures on roadways up to 100-meters away.

Temporary, Remote Deployment

Small form factor and low-power footprint with optional battery and solar capabilities.

Capture Snapshot and Video

Capture every event or based on configuration settings: speeding, entered zones, special criteria, and more.

MQTT / HTTP Data Feeds

Telemetry available via open protocols to use with ThingsBoard, Home Assistant, and more.

Additional Models

Load additional models such as license plate recognition (LPR), vehicle make and model classification, custom models, and more. The sky is the limit!

... and more!

Raspberry Pi-based ecosystem has nearly endless possibilities: air quality, noise, gases, light: the list goes on.

Build it yourself (DIY)

The Traffic Monitor hardware and software are open source so you can do it yourself. Expand on it, explore, improve, and contribute back to the community!

Build It

Buy it

Pre-built units and kits are currently under construction.

Join the newsletter to stay tuned for your chance to get a unit that is ready-to-go.

Buy It

About the open smart city traffic monitor...

The Traffic Monitor is an open source smart city traffic monitoring software built with commodity hardware to capture holistic roadway usage. Utilizing edge machine learning object detection and Doppler radar, it counts pedestrians, bicycles, and cars, measures vehicle speeds, classifies objects, and captures environmental conditions.

With open source software and hardware, your imagination is the only limit on the questions you can answer and the data you can collect. Right-to-repair isn't just a tagline: You are encouraged and enabled to build, repair, improve, augment, reconstruct, and explore all the possibilities of this system. And when you have something new, share and contribute back to the community! Transparency, privacy, and responsible AI are also core to the design.

We believe empowering citizen scientists and transportation advocates to collect, share, and understand information about their public streets will improve community safety and quality of life. We want to lower the barrier to entry on obtaining and utilizing cutting-edge, industry-leading traffic monitoring technology to empower the next generation of roadway engineers and planning professionals to utilize AI and low-cost, cutting edge technology to foster a more efficient and sustainable transportation ecosystem.

Get Involved

Example Use Cases

Cutting-edge traffic monitoring technology

Real-time data on traffic patterns

Urban planning and traffic management officials can deploy the device at key intersections and roadways to better understand pedestrian flow and environmental conditions.

This information can inform decisions on infrastructure improvements, such as the installation of new bike lanes or pedestrian crossings, and help optimize traffic signal timings to reduce congestion.

Democratize roadway data

Raise community awareness

Enhance public safety initiatives by identifying and measuring high-traffic, high-speed areas that may require community awareness campaigns for improved roadway infrastructure or increased traffic enforcement.

Influence policy decision making by collecting and sharing recent, actionable data that takes a holistic view of the roadway; everyone counts: pedestrians, bikes, cars, and more.

Get to know your roadway

Intersection analytics

Gain invaluable insights into traffic flows and people-based activity at critical junctions. Identify moving violations such as red light running, optimize traffic signal timings, and enhance safety measures.

This data-driven approach enables smarter advocacy and urban design to improve mobility in your neighborhood.

Foot traffic insights

Location analytics

Get insights into the health of your business and main street corridor. Measure people movement and foot traffic data to feed your real estate and retail decisions. Make changes and measure how it affects your location's audience.

Deploy in multiple locations along your trade area to understand where visitors are coming from and going to and identify opportunities for growth.

Attached environmental sensors

Air Quality monitoring

Directly associate air quality and environmental measurements with roadway use and conditions. Attach the AQ modules to measure temperature, pressure, humidity, light, analog gas, noise, and particulate matter (PM 2.5)

See how changes in your roadway environment affect air quality over time. Contribute your data to citizen science efforts to monitor air quality just outside your house.

Want to see real-life deployments? Visit our companion site: See the Roadway Biome case studies

Dashboard screen shots

Dashboards are available on-device for a quick peak at system operation.

All data is kept securely on-device in an open format. Customizable MQTT and HTTP API endpoints make it easy to send data to other applications and back-end systems, self-hosted or cloud-hosted, such as ThingsBoard, Home Assistant, and more.