Next-Generation Vision Sensors for Autonomous Fleets

May 23, 2022
SiLC Technologies’ long-range FMCW LiDAR transceivers bring accuracy, depth and instantaneous velocity to a major robotaxi fleet.

READ MORE: FMCW LiDAR Gives the Gift of Sight

SiLC Technologies, known for its deep expertise in LiDAR solutions, has announced a collaboration with AutoX, the frontrunner RoboTaxi company in China. The autonomous vehicles company will use SiLC’s Eyeonic Vision Sensor technology to help steer its robotic taxi fleet.

In this video, SiLC’s CEO, Mehdi Asghari, and vice president, Business Development and Marketing, Ralf Muenster, discuss what’s behind the acquisition and their FMCW LiDAR solution.

Frequency-Modulated Continuous Wave (FMCW) LiDAR enables robotic vehicles and machines to have the necessary data to perceive and classify their environment, explained Muenster. Manufacturers working on next-gen autonomous vehicles, security solutions and industrial robots will find the technology can be readily integrated, he said. The Eyeonic Vision Sensor’s components include as a sophisticated laser, high quantum efficiency detectors, powerful amplifier and meters of waveguides onto a single silicon chip.

According to Asghari, SiLC Technologies places an emphasis on being “bionic eyes” for machines. “We want to give machines [human] reaction capability—the same perception capability without having to put a million dollars’ worth of hardware in the trunk of the car,” said Asghari. “Our vision system works with a 10-watt computer, which happens to be the most powerful computer on the planet and the most efficient one. Unfortunately, the computer industry has not reached that stage yet, so we have to make up for that with far more superior vision.”

Find Exactly What You’re Looking For…

Hover over the labeled video timestamps to jump to specific sections.

  1. [00:50] What does machine vision lack today?
  2. [05:50] How do Eyeonic Vision Sensors work?
  3. [10:45] What drives smart sensor innovation?
  4. [19.25] COVID-19’s implication on industry.
  5. [22:26] Applications for Eyeonic Vision Sensors.
About the Author

Rehana Begg | Editor-in-Chief, Machine Design

As Machine Design’s content lead, Rehana Begg is tasked with elevating the voice of the design and multi-disciplinary engineer in the face of digital transformation and engineering innovation. Begg has more than 24 years of editorial experience and has spent the past decade in the trenches of industrial manufacturing, focusing on new technologies, manufacturing innovation and business. Her B2B career has taken her from corporate boardrooms to plant floors and underground mining stopes, covering everything from automation & IIoT, robotics, mechanical design and additive manufacturing to plant operations, maintenance, reliability and continuous improvement. Begg holds an MBA, a Master of Journalism degree, and a BA (Hons.) in Political Science. She is committed to lifelong learning and feeds her passion for innovation in publishing, transparent science and clear communication by attending relevant conferences and seminars/workshops. 

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