Machine vision systems(MVSs)are an important component of intelligent systems,such as autonomous vehicles and robots.However,with the continuous increase in data and new application scenarios,new requirements are put ...Machine vision systems(MVSs)are an important component of intelligent systems,such as autonomous vehicles and robots.However,with the continuous increase in data and new application scenarios,new requirements are put forward for the next generation of MVS.There is an urgent need to find new material systems to complement the existing semiconductor technology based on thin-film materials,and new architectures must be explored to improve efficiency.Because of their unique physical properties,two-dimensional(2D)materials have received extensive attention for use in MVSs,especially in biomimetic ones:the human visual system,which can process complex visual information with low power consumption,provides a model for next-generation MVSs.This review paper summarizes the progress and challenges of applying 2D material photodetectors in sense-memory-computational integration and biomimetic image sensors for machine vision.展开更多
Road transport is currently one of the most important sectors affecting sustainable development and the improvement of the population’s standard of living. In some sub-Saharan African countries, including Burundi, th...Road transport is currently one of the most important sectors affecting sustainable development and the improvement of the population’s standard of living. In some sub-Saharan African countries, including Burundi, the transport structure is vulnerable, under attack, or even damaged or destroyed. This is prompting decision-makers to look for every possible way to enable dynamic management of the road system, as well as the collection of tax revenues attributable to this sector. To reach this stage, we postulate that the introduction of the Intelligent Transport System (ITS) into the road tax and fee collection process would make a significant contribution (road safety, zero cash on silk Safety Officers, payment of a fine, eradication of road corruption etc.) to the digitization of the various transport sectors. As far as the city of Bujumbura is concerned (our field of intervention), the applicability of the present System could thus meet the expectations of the decision-maker, certain drivers and, by the same token, contribute to the promotion of Digital Technology in Burundi.展开更多
The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing.These requirements are driving the development o...The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing.These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors,especially for edge detection capability.Yet,there is still a lack of reconfigurable or programmable schemes,which may drastically enhance the impact of these devices at the system level.Here,we propose and experimentally demonstrate a reconfigurable flat optical image processor using low-loss phase-change nonlocal metasurfaces.The metasurface is configured to realize different transfer functions in spatial frequency space,when transitioning the phase-change material between its amorphous and crystalline phases.This enables edge detection and bright field imaging modes on the same device.The metasurface is compatible with a large numerical aperture of~0.5,making it suitable for high resolution coherent optical imaging microscopy.The concept of phase-change reconfigurable nonlocal metasurfaces may enable emerging applications of artificial intelligence-assisted imaging and vision devices with switchable multitasking.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.61905266,62004207,61904184,62005303,62175045,62134009)Special grants from China Post-doctoral Science Foundation(Grant No.2021M700156)+1 种基金Youth Innovation Promotion Association CAS,Hangzhou Key Research and Development Program(Grant No.20212013B01)the Science and Technology Commission of Shanghai Municipality(Grant No.21JC1406100 and 20YF1455900).
文摘Machine vision systems(MVSs)are an important component of intelligent systems,such as autonomous vehicles and robots.However,with the continuous increase in data and new application scenarios,new requirements are put forward for the next generation of MVS.There is an urgent need to find new material systems to complement the existing semiconductor technology based on thin-film materials,and new architectures must be explored to improve efficiency.Because of their unique physical properties,two-dimensional(2D)materials have received extensive attention for use in MVSs,especially in biomimetic ones:the human visual system,which can process complex visual information with low power consumption,provides a model for next-generation MVSs.This review paper summarizes the progress and challenges of applying 2D material photodetectors in sense-memory-computational integration and biomimetic image sensors for machine vision.
文摘Road transport is currently one of the most important sectors affecting sustainable development and the improvement of the population’s standard of living. In some sub-Saharan African countries, including Burundi, the transport structure is vulnerable, under attack, or even damaged or destroyed. This is prompting decision-makers to look for every possible way to enable dynamic management of the road system, as well as the collection of tax revenues attributable to this sector. To reach this stage, we postulate that the introduction of the Intelligent Transport System (ITS) into the road tax and fee collection process would make a significant contribution (road safety, zero cash on silk Safety Officers, payment of a fine, eradication of road corruption etc.) to the digitization of the various transport sectors. As far as the city of Bujumbura is concerned (our field of intervention), the applicability of the present System could thus meet the expectations of the decision-maker, certain drivers and, by the same token, contribute to the promotion of Digital Technology in Burundi.
基金supported by European Union’s Horizon 2020 research and innovation program(Grant No.101017237,PHOENICS Project)European Union’s EIC Pathfinder program(Grant No.101046878,HYBRAIN Project and No.101098717 RESPITE Project)+1 种基金funded in part by the UKRI[EP/T023899/1,EP/R001677/1,EP/W003341/1 and EP/W022931/1]funding from the Marie Sklodowska-Curie Individual Fellowship 101068089(METASCALE).
文摘The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing.These requirements are driving the development of computing metasurfaces to realize efficient front-end analog optical pre-processors,especially for edge detection capability.Yet,there is still a lack of reconfigurable or programmable schemes,which may drastically enhance the impact of these devices at the system level.Here,we propose and experimentally demonstrate a reconfigurable flat optical image processor using low-loss phase-change nonlocal metasurfaces.The metasurface is configured to realize different transfer functions in spatial frequency space,when transitioning the phase-change material between its amorphous and crystalline phases.This enables edge detection and bright field imaging modes on the same device.The metasurface is compatible with a large numerical aperture of~0.5,making it suitable for high resolution coherent optical imaging microscopy.The concept of phase-change reconfigurable nonlocal metasurfaces may enable emerging applications of artificial intelligence-assisted imaging and vision devices with switchable multitasking.
