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Live2026-09-11 20:46 UTC+20 todayUpdated

Hesai and Flasheye Deliver Stationary Lidar Perception System for Industrial Autonomy

A new stationary lidar perception system from Hesai and Flasheye replaces fences and manual supervision with persistent 3D sensing, enabling autonomous operations in mines, ports, and sawmills.

Coverage per lidar unit
5,000 to 50,000 m²
Detection range
Up to 200 m for haul trucks, 25 m for pedestrians
Deployment time
Days

What Happened

Traditional industrial sites rely on fences, light curtains, and manual oversight to keep people and machines safe. These methods are rigid and don't produce data for automation. Hesai's high-capacity lidar sensors paired with Flasheye's perception software provide continuous 3D spatial awareness, allowing control systems to automatically enforce safety zones and track objects across large areas without human intervention.

Sensor coverage per unit

5,000 to 50,000 m²

A single Hesai lidar covers an area from 5,000 to 50,000 square meters, replacing multiple sensors or physical barriers.

In mining, one lidar installation can replace hundreds of meters of fencing for zone enforcement. Ports reduce operator staffing through automated vehicle tracking, and sawmills achieve tighter material-feed control. The system outputs data via standard industrial protocols, integrating with existing control systems without custom work.

Why this matters

This technology allows industrial sites to automate safety and tracking without physical barriers, reducing human presence in hazardous zones and enabling faster, data-driven control.

Terms in This Story

lidar
A sensing technology that uses laser pulses to measure distances and create 3D maps of environments.
point cloud
A set of data points in 3D space representing the surface of objects, produced by lidar sensors.
AGV
Automated Guided Vehicle, a robot that follows predefined paths without a human operator.
Read Original: Hesai Technology

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