Connect with us

Digital Health

SiLC Technologies Advances Machine Vision, Bridging the AI Gap with Bionic Vision

Unveils Four Tailored Versions of Its Eyeonic Vision System for Applications Requiring Vision that Ranges from Short to Ultra-Long Distances In a world…

Published

on

This article was originally published by AITHORITY
SiLC Technologies Advances Machine Vision, Bridging the AI Gap with Bionic Vision

Unveils Four Tailored Versions of Its Eyeonic Vision System for Applications Requiring Vision that Ranges from Short to Ultra-Long Distances

In a world increasingly driven by artificial intelligence (AI), the need for machines to perceive and understand their surroundings in the same way as humans has never been more pressing. Addressing this need, SiLC Technologies (SiLC), a leader in silicon photonics, today announces the availability of four specialized Eyeonic Vision Systems. Engineered for vision detection capabilities that span from short distances to over 1,250 meters, these systems utilize FMCW LiDAR technology to meet the diverse application needs across various sectors.

AiThority Interview Insights : AIThority Interview with David Lambert, VP & GM, Strategy & Growth, APAC, Medallia

“As AI continues its upward trajectory, SiLC is poised to further innovate in response to market demand. The Eyeonic Vision System is just the start. We’re focused on enhancing angular resolution and embedding solid-state scanning into our single-chip solution.”

Current machine vision systems largely rely on camera systems that capture a mere snapshot of the available data. This necessitates resource-intensive computing to compensate for the missing pieces and inherently falls short of genuine vision.

Introduced last year, the Eyeonic Vision System delivers unparalleled vision perception to machines – offering not only the capability to identify objects even beyond a kilometer away but also providing per-pixel velocity and polarization information, unprecedented precision, and interference-free operation.

“Since the launch of the Eyeonic Vision System, our collaboration with various OEMs revealed distinct vision requirements, necessitating multiple versions of our solution,” said Mehdi Asghari, SiLC founder and CEO.

Recommended:  Understanding Artificial Intelligence’s Role in Accelerating Africa’s Healthcare Momentum

SiLC’s refined Eyeonic Vision System portfolio includes:

  • Short Range – Designed for vision detection up to 50 meters, this version is ideal for AI machine vision tasks requiring high precision, such as pallet and truck loading or product inspection.
  • Medium Range – For vision detection up to 150 meters, suited to home security and factory automation applications.
  • Long Range – Providing vision detection up to 300 meters, this version is tailored for ADAS and autonomous vehicles.
  • Ultra-Long Range – For vision detection that exceeds 1,250 meters and is targeted to drone tracking, perimeter security and airplane ground control.

To date, SiLC is the only company that has built a chip-integrated FMCW LiDAR solution, which is critical for machine vision to emulate the human eye. “Our mission is to change the current state of machine vision, empowering the next generation of machines to integrate seamlessly into our society,” added Asghari. “As AI continues its upward trajectory, SiLC is poised to further innovate in response to market demand. The Eyeonic Vision System is just the start. We’re focused on enhancing angular resolution and embedding solid-state scanning into our single-chip solution.”

All Eyeonic Vision System variants feature the company’s unique technology benefits: robust, compact, scalable, and unaffected by complex, unpredictable environments, conditions, and interferences. Each Eyeonic Vision System variant provides highly precise range, velocity, and polarization modes. With the global machine vision and robotics market forecasted to soar to $12 billion by 2030, SiLC’s solutions are set to reshape industries from autonomous vehicles to augmented reality.

Recommended: Is Your Beautiful Content Going into a Black Hole?

 [To share your insights with us, please write to sghosh@martechseries.com] 

The post SiLC Technologies Advances Machine Vision, Bridging the AI Gap with Bionic Vision appeared first on AiThority.

artificial intelligence

augmented reality

Digital Health

Keep it Short

By KIM BELLARD OK, I admit it: I’m on Facebook. I still use Twitter – whoops, I mean X. I have an Instagram account but don’t think I’ve ever posted….

Continue Reading
Life Sciences

Asian Fund for Cancer Research announces Degron Therapeutics as the 2023 BRACE Award Venture Competition Winner

The Asian Fund for Cancer Research (AFCR) is pleased to announce that Degron Therapeutics was selected as the winner of the 2023 BRACE Award Venture Competition….

Continue Reading
Digital Health

Seattle startup Olamedi building platform to automate health clinic communications

A new Seattle startup led by co-founders with experience in health tech is aiming to automate communication processes for healthcare clinics with its software…

Continue Reading

Trending