The team at CoreDAR has built a touchless motion sensor called GLAMOS. Developed with its small LiDAR system, it utilizes a rotational mirror and laser to create a sensor grid designed to turn many devices into touchless touchscreens.
The technical side
GLAMOS works by firing an 850mm infrared laser on a rapidly spinning mirror. This creates a 180° area of detection which receives that telemetry and makes it into usable interfacing data.
A 6″ x 3″ detection range means GLAMOS offers plenty of space to work in. Meanwhile, its smaller counterpart of 1.5″ x 1.1″ x 1.3″ allows it to fit securely on counters, TV stands, and end tables. This includes your office meeting room table or work desk. It also boasts a detection speed of 60Hz, so you should be able to swipe and move without missing a beat so long as you are in range.
Multiple modules can connect to the same input device, allowing you to create a seamless detection net. GLAMOS offers a standard micro USB model and a pro model that supports Bluetooth capabilities. Although the micro USB cable is quickly falling out of fashion, a USB C adapter will only set you back a few bucks on Amazon, so that shouldn’t stand in your way.
LiDAR at a glance
Light Detection And Ranging or LiDAR is a method of surveying an area with lasers and processing the telemetry to construct a 3D image. People typically used this method for topographical scanning and 3D model construction.
While it seems like a recent technology, the concept has been around since the 1960s. Recently, people have found a new use for it in human interfacing technologies.
Goals and aspirations
GLAMOS is compatible with many USB-capable devices available today. Whether you want to streamline a presentation at the office or swipe through the shows on your favorite streaming service, this small but powerful device has you covered.
YouTube: GLAMOS – Retrofit Screens To Accept Touch Input
Photo credits: The images used are owned by CoreDAR and were provided for press usage.
Source: National Science Foundation’s National Ecological Observatory Network
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