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Machine vision developed to support autonomous drones and robots


Machine vision developed to support autonomous drones and robots
26 Apr 2021
European research project, led by Finnish group VTT, is “inspired by human vision system”.
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 d ....

Lund University Sweden , Fraunhofer Centre For Applied Nanotechnology Germany , University Of Santiago De Compostela Spain , Lodz University Of Technology Poland , University Of Wuppertal Germany , Multispectral Intelligent Vision System , Embedded Low Power Neural Computing , Jacek Flak , Senior Scientist , Fraunhofer Centre , Applied Nanotechnology , Santiago De Compostela , Lodz University , Lund University , லண்ட் பல்கலைக்கழகம் ஸ்வீடந் , பல்கலைக்கழகம் ஆஃப் ஸ்யாஂடியாகொ டி கம்போஸ்டெலா ஸ்பெயின் , மூத்தவர் விஞ்ஞானி , ப்ரௌுந்ொபேர் மையம் , பயன்படுத்தப்பட்டது நானோ தொழில்நுட்பம் , ஸ்யாஂடியாகொ டி கம்போஸ்டெலா , லண்ட் பல்கலைக்கழகம் ,

VTT Develops Machine Vision to Support Autonomous Drones and Robots–Inspired by Human Vision System


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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 ha ....

Lund University Sweden , Fraunhofer Centre For Applied Nanotechnology Germany , University Of Santiago De Compostela Spain , Lodz University Of Technology Poland , University Of Wuppertal Germany , Machine Vision , Support Autonomous Drones , Human Vision System , Multispectral Intelligent Vision System , Embedded Low Power Neural Computing , Jacek Flak , Fraunhofer Centre , Applied Nanotechnology , Santiago De Compostela , Lodz University , Lund University , லண்ட் பல்கலைக்கழகம் ஸ்வீடந் , பல்கலைக்கழகம் ஆஃப் ஸ்யாஂடியாகொ டி கம்போஸ்டெலா ஸ்பெயின் , இயந்திரம் பார்வை , ப்ரௌுந்ொபேர் மையம் , பயன்படுத்தப்பட்டது நானோ தொழில்நுட்பம் , ஸ்யாஂடியாகொ டி கம்போஸ்டெலா , லண்ட் பல்கலைக்கழகம் ,