LiDAR Technology Coming to Factory Systems
Industrial sensor company Sick AG and automotive sensor company IBEO Automotive Systems GmbH have partnered to create an industrial, solid-state LiDAR solution.
.jpg;width=70;height=70;mode=crop;format=webp)
Share
While LiDAR (light detection and ranging) systems are typically discussed in the context of the automotive industry, where the systems — which use pulses of laser light for purposes of detecting objects and ranging — are a key element to the development of autonomous vehicle capabilities, industrial sensor company Sick AG and automotive sensor company have announced a collaboration through which they will develop a 3D solid-state LiDAR system for industrial application.
The IBEO system is solid-state, meaning there are no moving parts. (You may have seen autonomous test vehicles with what appear to be spinning Kentucky Fried Chicken buckets affixed to a roof rack: those are LiDAR sensors that aren’t solid-state.)
What’s more, the ibeoNext measurement core, which uses a photon laser measurement technique, is capable of accurately operating in conditions where there are shocks and vibrations, characteristic of both roads and factories.
The system provides output that includes images which resemble those of a camera (although in black and white).
The companies anticipate running tests of the industrial LiDAR system in customer plants early this year.
Related Content
-
The Link Between CNC Process Control and Powertrain Warranties
Ever since inventing the touch-trigger probe in 1972, Sir David McMurtry and his company Renishaw have been focused on achieving process control over its own manufacturing operations. That journey has had sweeping consequences for manufacturing at large.
-
Process Control — Leveraging Machine Shop Connectivity in Real Time
Renishaw Central, the company’s new end-to-end process control software, offers a new methodology for producing families of parts through actionable data.
-
Rethink Quality Control to Increase Productivity, Decrease Scrap
Verifying parts is essential to documenting quality, and there are a few best practices that can make the quality control process more efficient.