Fairy

The World's First High-Precision Mid-Range Digital LiDAR
$1,699.00
Incoterms DDP（ Delivered Duty Paid ）: Duties and import taxes are included and will be calculated at checkout.
  • Longest Ranging:150m
  • FOV：360°×32°
  • Ultra HD Point Cloud(single return)：~1,370,000pts/s (96-beam)
  • High Precision: 0.5cm@1σ
  • Integrated IMU
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Model: Device Only

Device Only
Fairy + Accessory Kit
High Precision for More Reliable Sensing
The Fairy features 0.5cm* ultra-high precision, providing robots with enhanced environmental perception for precise positioning, navigation, and obstacle avoidance, significantly improving operational efficiency and safety. Additionally, the high-precision point clouds generated in real-time by Fairy are algorithm-friendly for tasks such as mapping, perception, and fusion, contributing to greater data collection reliability.
Million-Level Points/Sec. for Detailed Precision
The Fairy is available in two versions: 96-beam and 48-beam, with point frequencies of 1.37 million points per second and 685,000 points per second, respectively. Compared with typical 32-beam mid-to-long range LiDAR, the 96-beam version of Fairy offers approximately 170% higher point cloud density. With a high angular resolution of 0.25°×0.33°, Fairy can rapidly detect both dynamic and static small obstacles, efficiently reconstruct 3D environmental data, and ensure reliable collision avoidance.
Lightweight and Easy to Deploy
Fairy is the industry's lightest mid-to-long range digital LiDAR, featuring a compact size of just φ75×H70 (mm) and weighing less than 350g. It greatly enhances the installation convenience and operational smoothness for handheld mapping devices, drones, and mobile robots.
Digital Architecture for High-Efficiency Integration
Fairy integrates the next-generation VCSEL emitting chip and high photon detection efficiency SPAD-SoC chip to reconstruct the LiDAR with a digital transmission and reception solution. With a simplified signal processing and transmission link, Fairy captures more complete and accurate point cloud data, achieving high-quality point cloud imaging while reducing power consumption.
Application Scenarios