Metalenz’s PolarEyes Camera Tech Brings Polarization Data to Smartphones

Just think of the camera which is placed on your car to detect black ice on the road, giving you a head-up before driving. Or a cell phone camera that can detect the presence of a tumor on your skin and cancer. Or the ability for Face ID to work even if you are face mask. All of this is possible metals is doing well with its new PolarEyes polarization technology.

Last year, the company unveiled a flat lens system called optical metasurfaces on mobile devices that take up little space while claiming to make the same images if they do not look better than a regular camera. Instead of using several glass objects mounted on top of each other – designs used on most phone cameras, which require “camera collision” – the Metalenz solution relies on single-lens nanostructures that twist light and deliver them to the camera. sensor, creating a picture with bright and clear scales based on images drawn by traditional systems. Rob Devlin, CEO of Metalenz, says we will see this technology in the second phase of 2022.

However, consider the recent announcement of Metalenz a second type that could grow inside the equipment in 2023. They are built on the same technology, but nanostructures are now able to retain information for polarization in the light. Ordinary cameras, such as those in our phones, do not record this but only focus on light and color. But with more, our phones can learn new technologies.

Wait, What Is Polarization?

Light is a form of electromagnetic radiation, and it travels in waves. When light interacts with other objects, such as crystals, its shape changes and begins to change with a special signature.

Devlin states: “Polarization information tells you where the light is coming from.” When you have a light coming into the camera and jumping from a smooth object to a bad object, or hitting the edge or connecting with other molecules, it is enough. will have very different aspects depending on the object, the molecule, and the jump. ” With this knowledge, you can differentiate between these and the common sense. ”

Think of it this way: Light waves emanating from ordinary ice along the road will rotate in contrast to the light emanating from black ice. If the camera can capture this information, you can feed it to a computer training machine and train them to learn to distinguish between black and ordinary ice. Now the car can warn you of an impending accident.