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Live+1 todayUpdated 46m ago

Hesai Launches Mini Lidar JT64P for High-Precision Spatial Digitalization

Hesai Technology today unveiled the JT64P, a miniature lidar with an ultra-wide field of view and high-precision 3D perception for spatial digitalization.

Point rate

1,152,000 points/s

Field of view

360° × 189°

Weight

250 g

What Happened

Hesai Technology unveiled the JT64P, a miniature lidar sensor with a 360° × 189° field of view and a point rate of over 1.15 million points per second. Weighing only 250 grams and consuming 9.5 watts, it is designed for handheld mobile scanning in small to medium-scale environments.

Key Specifications
  • Ultra-wide field of view: 360° × 189°
  • Point rate: 1,152,000 points per second
  • Weight: 250 grams
  • Power consumption: 9.5 watts
  • Relative precision: <1 cm

The JT64P enables high-fidelity spatial digitalization for applications such as interior design, construction planning, and industrial mapping. Its ultra-wide field of view reduces the need for repeated scans, and its precision offset correction algorithm improves perception precision by 30%. The spatial digitalization market is projected to grow from USD 5 billion in 2019 to USD 154 billion by 2030, according to GlobalData.

Why this matters

Lidar-based spatial digitalization is transforming industries like construction and interior design, and the JT64P's compact design makes high-precision scanning more accessible.

Terms in This Story

lidar
Light Detection and Ranging; a remote sensing method that uses laser light to measure distances and create high-resolution 3D maps.
point cloud
A set of data points in space, representing a 3D object or environment, generated by lidar scanners.
SLAM
Simultaneous Localization and Mapping; a technique used by robots and scanners to build a map of an unknown environment while tracking their own location within it.
spatial digitalization
The process of converting physical spaces into digital 3D models for analysis, design, and planning.
Read Original: Hesai Technology

Summarised from the linked release; details can be imperfect — always verify against the original source.