Innovation in MEMS—and Elsewhere—Starts with Market Disruption

When Thomas A. Edison invented the phonograph in 1877, he first envisioned its use for letter writing and other forms of dictation, but he didn’t foresee that his invention would one day transform the way that people listen to music, expanding that experience from live performance only to recorded music in the comfort of one’s own home.

Let’s go one step further. Read this excerpt from the December 22, 1877 issue of Scientific American with a modern eye, and you might think that Edison’s work portended the invention of AI-enabled chatbots that mimic human conversation: “Mr. Thomas A. Edison recently came into this office, placed a little machine on our desk, turned a crank, and the machine inquired as to our health, asked how we liked the phonograph, informed us that it was very well, and bid us a cordial good night.”

On a literal level, we can’t draw a linear connection, but on a conceptual level, Edison was onto something. His work—as well as that of other pioneers who followed him closely, including Alexander Graham Bell—laid the foundation for future voice and acoustic applications, including smart speakers, cellular phones, and digital audio books.

Innovation in MEMS has progressed similarly. It has not always moved in a linear fashion, but there have been flashes of brilliance along the way. The first MEMS accelerometers in air bag crash sensors, commercialized by Analog Devices in the mid- to late 1990s, proved that MEMS devices can be manufactured in high volume and used in environments with high vibration and wide temperature variation. The Nasiri-Fabrication platform, which InvenSense used to manufacture the first high-volume MEMS gyros for consumer applications in the early 2000s, was another major leap in innovation.

Here we are in 2023, with billions of MEMS sensors now deployed in thousands of different electronic applications, and innovation has stagnated. Our industry still contends with the limitations of non-standard processes and packaging approaches, long design-to-delivery life cycles, varying degrees of high cost, and issues with reliability and accuracy. Despite this, MEMS technology has unlimited upside potential. All we need to do is fix it at a foundational level.

That’s what we’re doing at Omnitron Sensors. We’re disrupting the market with a new topology for MEMS that simplifies fabrication to improve capacitance, increase ruggedness, improve yield, speed design-to-manufacture, and reduce cost. And it’s through our new topology for MEMS that we’re able to build better MEMS devices that span markets and applications, from the first MEMS step-scanning mirrors for LiDAR to better IMUs, better actuators, and better pumps.

Interested in learning more?

Omnitron Co-founder & CEO Eric Aguilar will present Omnitron’s new topology for MEMS at MEMS World Summit Europe, June 13-14, 2023 in Porto, Portugal. There’s still time to register for this annual event, which attracts industry leaders and decision-makers from the global MEMS and sensors industry.

Or, if you’re not able to attend MEMS World Summit Europe, please email Omnitron Sensors today.


Why Isn’t LiDAR in Every Autonomous Navigation System?

The mechanical engineer Karl Friedrich Benz invented the first motor car powered by a gasoline combustion engine in 1884/1885. Benz, Gottlieb Daimler, Wilhelm Maybach and other pioneering inventors of early motor cars would have been hard-pressed to imagine modern cars, many of which offer advanced driver assistance systems (ADAS) that improve automotive safety, independent of the operator.

Karl Friedrich Benz’s Benz Patent-Motorwagen, circa 1885/86

The possibility of fully self-driving cars, self-flying cargo planes, and package-delivery drones would have seemed even more far-fetched to these 19th-century engineers. But as 21st-century engineers, we recognize that ADAS, robotic cars, drones, and industrial robotics—all applications featuring some level of autonomous functionality—are not pie-in-the-sky imaginings. And the key to realizing them commercially is the perfection of LiDAR.

LiDAR—which stands for light detection and ranging—is essential to autonomous navigation. In fact, it does so much more than the more mature vision technologies, cameras and radar, which are also used in autonomous systems. Only LiDAR provides depth and functions seamlessly at all levels of light. It also delivers phenomenal resolution, so it can perceive both moving and stationary objects—another critical advantage over cameras and radar.

Given LiDAR’s technical strengths, why isn’t it ubiquitous?

As a sensor IP company with an executive team that also has years of experience with LiDAR, we’ve given this a lot of thought. And we’d like to share this with you.

Read Omnitron CEO Eric Aguilar’s article in EE Times, Want Better Autonomous Navigation? Start with LiDAR.

Or email us today for more information.

And if you’re interested in the history of the automobile, check out this Library of Congress page.