Can neuromorphic vision accelerate the arrival of intelligent robots?
We all know that when it comes to processing gargantuan amounts of data computers are unbeatable and that industrial robots are champions at coping with mind-numbingly repetitive tasks requiring unrelenting accuracy and energy.
However, despite all that, humans remain dominant at one critical thing that neither of those technologies can handle and that is the ability to recognise, interpret, analyse and intelligently learn from information gathered via data and real-time practical experiences.
But could all that change if the potential promises that neuromorphic vision technology purports to offer become working realities? This form of vision is defined as the development of artificial systems and circuits that exploit information typically found in the human eyes biological systems.
Machine vision developed to support autonomous drones and robots
26 Apr 2021
European research project, led by Finnish group VTT, is âinspired by human vision systemâ.
MISEL project aims to develop a machine vision system for UAVs and more.Autonomously moving drones and other robots must observe their environment and interpret their observations without interruption. Using current technologies, this requires more energy than the batteries of a lightweight device can provide. This is why Finnish research agency VTT Research and its partners are developing a fast, safe and energy-efficient machine vision system inspired by the human vision system.
A machine vision system that observes the visible environment and interprets the observations made is the prerequisite for autonomous devices. To ensure speed and safety, the machine vision systems must use local computing. In self-driving cars, this can be achieved with LiDARs and computers, while in lighter devices, such as
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VTT Develops Machine Vision to Support Autonomous Drones and Robots–Inspired by Human Vision System
April 21, 2021 VTT Develops Machine Vision to Support Autonomous Drones and Robots–Inspired by Human Vision System
A machine vision system that observes the visible environment and interprets the observations made is the prerequisite for autonomous devices. To ensure speed and safety, the machine vision systems must use local computing. In self-driving cars, this can be achieved with LiDARs and computers, while in lighter devices, such as self-flying drones, batteries are not sufficient to power ordinary computer hardware.