Startup claims its MEMS scanning mirror can disrupt lidar market

Startup claims its MEMS scanning mirror can disrupt lidar market

Startup Omnitron Sensors Inc. (Los Angeles, Calif.) has developed a process to produce a fast-moving microelectromechanical systems (MEMS) scanning mirror.

The company claims this will meet the large field of view requirements of lidars used for automotive advanced driver assistance systems (ADAS), drones and robotics. Omnitron’s MEMS mirror will produce a two- to three-times larger field of view than other MEMS mirrors used in long-range lidars, the company said.

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Omnitron Sensors Solves Reliability, Size, Cost Issues with LiDARs

Omnitron Sensors Solves Reliability, Size, Cost Issues with LiDARs

Omnitron Sensors, the pioneer in MEMS sensing technology for high-volume, low-cost markets, today validated its process for a fast, rugged, low-cost microelectromechanical systems (MEMS) scanning mirror, a new optical subsystem that meets the most demanding requirements of the LiDARs used in automotive advanced driver assistance systems (ADAS), drones and robotics.

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Omnitron Sensors Solves Reliability, Size, Cost Issues with LiDARs

Omnitron Sensors Solves Reliability, Size, Cost Issues with LiDARs

Omnitron Sensors, the pioneer in MEMS sensing technology for high-volume, low-cost markets, today validated its process for a fast, rugged, low-cost microelectromechanical systems (MEMS) scanning mirror, a new optical subsystem that meets the most demanding requirements of the LiDARs used in automotive advanced driver assistance systems (ADAS), drones and robotics.

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MEMS Enables Efficient Optical Design for LiDAR Sensors

MEMS Enables Efficient Optical Design for LiDAR Sensors

MEMS sensing technology company Omnitron Sensors has developed a process to fabricate the scanning mirror using conventional MEMS processes that reduces cost and size, while producing a 2 to 3 times larger field of view than competitive MEMS mirrors used today in long-range LiDARs.

Traditionally, scanning mirror subsystems used in LiDAR systems for ADAS and aerial applications have traditionally used voice coils, spinning polygons, and Galvos. These technologies are considered bulky, expensive, and prone to failure.

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