Luxonis is a robotic vision platform that aims to provide products like its OAK cameras to enhance monitoring for humans with AI which can range from assisting in automotive tasks to monitoring infants in incubators. This year, their product, the OAK-SoM-Max, has recently received recognition during the CES 2023 Innovation Awards as an honoree for the Embedded Technologies category. The product is a System on Module (SoM) designed for integration with the top-level system for low power consumption, enhanced performance, real-time AI along with depth perception. The technology has been improvised in OAK cameras.
About OAK cameras
Currently, Luxonis has four OAK cameras: OAK-1, OAK-D-Lite, OAK-D-S2, and OAK-D-Pro. The cameras all have spatial AI technology that allows robots to perceive and engage with the environment, which can be used both for personal and corporate uses. This computer-based AI discipline gives robots and other machines vision and intelligent processing in an AI module. With that, it promises to be a top-level system with real-time AI along with depth perception while having low power consumption.
What differentiates one OAK camera from another is its features. Apart from the quality of the camera itself, certain features are only available on certain models. These features include night vision, stereo vision, and wide-angle support. The most basic out of the four models is OAK-1. However, if you want to have all the features available, then you’ll have to pick up the OAK-D-Pro.
Application
So far, the OAK cameras are being used in companies such as Greenzie’s self-driving lawnmowing device. It helps in the safety, productivity, and profitability of the vehicle. Users can set the map where the vehicle needs to mow, switch to the autonomous setting, and press the MOW button so it can cut grass within the mapped location. Meanwhile, users can supervise the real-time mowing process with the OAK camera installed.
Apart from that, you can also find OAK cameras used in NeoCam. The camera is used alongside the machine learning algorithms as a core element for monitoring a newborn’s activity and status. It supports the NeoCam’s function of monitoring the breathing frequency and emotional status of the babies by capturing and processing the images.
YouTube: Team Caleta – NeoCam: Real-time telemonitoring of preterm neonates
Photo credit: The images used are owned by Luxonis and have been provided for press usage.
Sources: CES
