Innoviz Technologies has launched a LiDAR sensor with a detection range of up to 1km for vehicle and infrastructure use.
The Israeli company said its InnovizTwo ultra long-range sensor is intended for physical AI systems requiring “high-fidelity, real-time understanding” across large spaces.
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According to Innoviz, the product pairs a range of up to 1km with higher point-cloud resolution while complying with Class 1 eye-safety standards.
The sensor is being positioned for applications including robotaxis, heavy trucks, border security, airports, ports and large industrial sites.
Innoviz CEO and co-founder Omer Keilaf said: “With the InnovizTwo Ultra Long-Range LiDAR, we are extending the boundaries of what our LiDAR can do in the field. Physical AI systems require precise, real-time 3D understanding of the world, not probabilistic inference alone.
“The combination of kilometre-scale range, extremely high-resolution 3D sensing, and the durability of an automotive-grade LiDAR gives operators across a wide range of industries a tool that performs reliably in harsh conditions, day or night.”
Innoviz said the system was developed using the same production tools and manufacturing processes as its existing InnovizTwo LiDAR platform.
It said this approach is expected to help simplify production ramp-up.
The company also said it has already delivered initial samples to selected customers.
Innoviz outlined several potential use cases for the sensor, including early hazard detection for autonomous vehicles and longer-range perception for heavy trucks.
Other scenarios include perimeter monitoring at large facilities, drone detection and “real-time” digital twin modelling at city scale.
The sensor is also intended for long-distance traffic monitoring and industrial automation in wide-area environments.
Innoviz said the system is designed to function in harsh conditions, including dust, rain and extreme temperatures.
For “smart” infrastructure deployments, the product includes power-over-Ethernet, allowing power and data to run through a single cable.
The company added that the sensor captures spatial data without identifying personal characteristics, a feature it said may support installations where privacy is a concern.
