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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.
19th April 2021 11:53 am 19th April 2021 11:54 am
Cavendish Nuclear is leading a project to employ advanced robotic technology for safer, quicker and more economical sorting of nuclear waste material.
OptiSORT aims to improve productivity by introducing autonomous operation in remote sorting and segregation projects like the Berkeley Active Waste Vaults Retrieval Programme (Image: Cavendish Nuclear)
Babcock subsidiary Cavendish Nuclear has won funding for its new OptiSORT system, which will be carried as part of an industry-wide partnership that includes Bristol Robotics Laboratory.
The funding forms Phase 1 of a 2-part competition awarded by the Nuclear Decommissioning Authority (NDA), in partnership with Innovate UK, to fund innovative ideas that will lead to better ways of sorting and segregating radioactive waste.
Plant Performance, PV Tech Power Papers
Given the significant wealth of data available from an energy generation asset today, it’s perhaps easy to overlook the availability and value from around the asset as well. Katie Applebaum, business development manager at Clir Renewables, explains why this ‘data disarray’ is preventing solar assets from reaching their full potential.
PVTP Paper
Plant Performance, PV Tech Power Papers
As solar continues to proliferate and the very first large-scale arrays exceed 10 years of operational life, the value of operations and maintenance services is forecast to skyrocket. But as Edith Hancock writes, industry pressures such as new technologies and consolidation, are reshaping the industry.