In an artificial intelligence (AI) world, machines need to reach a greater understanding of their surroundings than ever before. Current machine vision relies on camera systems to capture a snapshot of available data. The next step is resource-intensive computing to compensate for what is falling short of genuine vision. Last year, SiLC Technologies (SiLC) introduced an Eyeonic Vision System that provided a way to identify objects even beyond a kilometer away, providing per-pixel velocity and polarization data, greater precision and interference-free operation.
(Source: SiLC)
SiLC has now expanded its capabilities, introducing four tailored versions of the Eyeonic Vision System. Created to provide bionic vision detection spanning a wide range of distances, the systems use FMCW LiDAR technology.
The new versions include a short-range option for vision detection up to 50 meters, targeting AI machine vision tasks that require high precision, such as pallet and truck loading or product inspection. A medium-range version performs vision detection up to 150 meters for applications such as home security and factory automation. For long-range, there is a 300-meter option that is tailored to ADAS and autonomous vehicles. And, given the need for an ultra-long range, the final version features vision detection exceeding 1,250 meters for drone tracking, perimeter security and airplane ground control.
To date, SiLC is alone in offering a commercially available chip integrating FMCW LiDAR that enables machine vision to emulate the human eye, according to the company. The solution combines a small footprint with low-cost and low power, scalability, and is unaffected by unpredictable environments, SiLC said. Each variant provides highly precise range, velocity, and polarization modes.
All four variants of the Eyeonic Vision System are currently available and shipping worldwide. Pricing varies, based on configuration.
Advertisement
