Ouster digital lidar sensor mounted at a city intersection
Ouster digital lidar sensor mounted at a city intersection

Digital lidar for smart infrastructure


Smart monitoring and analytics with 3D lidar

Ouster digital lidar provides privacy-safe 3D data for high-accuracy tracking and analytics. Our sensors enable the tracking of pedestrians, vehicles, or cyclists to measure foot and motor traffic, count near-miss incidents, or detect intruders. With up to 50 different customization options, Ouster sensors can be tailored to fit all physical installations.

People Counting


Ultra-wide view lidar sensor

With a 90º vertical field-of-view, the OS0 can be deployed for indoor or sidewalk installations to monitor foot traffic and deliver enhanced analytics on pedestrian flow. Ouster lidar sensors collect no personally identifiable information and are privacy-safe in all scenarios.


Traffic Analytics


Mid-range Lidar Sensor

The OS1's 45º vertical field-of-view and 120 m range provide complete coverage of large intersections for measuring traffic flow, tracking speeding, and detecting wrong-way vehicle travel.


Intrusion detection


Long-range Lidar Sensor

Monitor fence lines and facility entrances with the OS2. With 128 channels of resolution, the OS2 can classify pedestrians up to 100 m away.

Smart Cities
Powered by our privacy-safe 3D digital lidar technology, Ouster sensors deliver accurate analytics on traffic flow and intersection safety to city planners.
Proactively detect intrusions, respond faster with real-time alerts, and reduce false alarms with accurate long-range 3D sensing.
3D lidar powers accurate and privacy-safe customer tracking to count customers entering a store and better understand customer flows.

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Frequently Asked Questions

What is digital lidar technology?

Digital lidar sensors use semiconductor-based lasers and detectors that allow for the lidar system to be integrated into a single application specific integrated circuit (ASIC). These semiconductor detectors are based on single photon avalanche diode (SPAD) detectors which are able to count individual photons received from the laser emitter. Legacy analog lidar sensors, including both MEMS and other spinning sensors, use APDs or SiPM detectors which measure the strength of the light signal, but cannot count individual photons. Legacy analog detectors measure intensity less precisely, need regular recalibration, and are highly susceptible to failure from shock, vibration, and water ingress.

How do lidar sensors compare to cameras?

Cameras provide extremely high resolution and long-range imagery but have challenges in perceiving object depth information and in handling situations with low light, glare, or heavy shadows. The sensitivity to light and struggles with depth perception can reduce the accuracy of camera-triggered alerts and create many false alarms.

Additionally, cameras are able to capture such detailed information that it can constitute an issue with privacy restrictions, such as GDPR.

Lidar solves these challenges with cameras and can complement cameras, or even in some cases replace cameras.

Lidar sensors produce 360º high-resolution imagery with accurate depth information while maintaining consistent performance independent of lighting conditions. The 3D spatial data produced by Ouster's digital lidar sensors improves detection and alert accuracy, while protecting privacy.

Why does higher resolution matter?

Higher resolution lidar sensors provide more data to improve the performance of detection and classification algorithms. With more data points produced by Ouster's high-resolution digital lidar, algorithms are able to identify pedestrians and vehicles more accurately and at longer distances than is possible with legacy analog lidar systems. For instance with 128 lines of resolution, the OS2-128 can classify vehicles at up to 150 meters, nearly triple the 55 meter range of 32-channel analog lidar sensors.

Does lidar collect personally identifiable information?

No. Unlike cameras which can collect high resolution images used to identify individuals, lidar outputs a 3D collection of points, known as a "point cloud." A point cloud has enough points to accurately identify the presence of a pedestrian, but not enough information to personally identify any pedestrians.

Read more about how our sensors protect privacy on our blog: https://ouster.com/blog/how-lidar-powers-smart-cities-and-protects-privacy/

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