Dynamic detection is crucial for intelligent vision systems,enabling applications like autonomous vehicles and advanced surveillance.Event-based sensors,which convert illumination variations into sparse event spikes,a...Dynamic detection is crucial for intelligent vision systems,enabling applications like autonomous vehicles and advanced surveillance.Event-based sensors,which convert illumination variations into sparse event spikes,are highly effective for dynamic detection with low data redundancy.However,current event-based vision sensors with simplified photosensitive capacitor structures face limitations,particularly in their spectral response,which hinders effective information acquisition in multispectral scenes.Here,we introduce a twoterminal thin-film event-based vision sensor that innovatively integrates an inorganic oxide p-n junction with the pyro-phototronic effect,synergistically combining the photovoltaic and pyroelectric mechanisms.This innovation enables spiking signals with a tenfold increase in responsivity,a dynamic range of 110 dB,and an extended spectral response from ultraviolet(UV)to near-infrared(NIR).With a thin-film sensor array,these spiking signals accurately extract fingerprint edge features even under low-light conditions,benefiting from high sensitivity to minor luminance variations.Additionally,the sensors'broadband spiking response captures richer information,achieving 99.25%accuracy in multispectral dynamic gesture recognition while reducing data processing by over 65%.This approach effectively eliminates redundant data while minimizing information loss,offering a promising alternative to current dynamic perception technologies.展开更多
基金National Natural Science Foundation of China,Grant/Award Number:62274007National Key Research and Development Program of China,Grant/Award Number:2023YFB3611400Young Elite Scientists Sponsorship Program by CAST,Grant/Award Number:2023QNRC001。
文摘Dynamic detection is crucial for intelligent vision systems,enabling applications like autonomous vehicles and advanced surveillance.Event-based sensors,which convert illumination variations into sparse event spikes,are highly effective for dynamic detection with low data redundancy.However,current event-based vision sensors with simplified photosensitive capacitor structures face limitations,particularly in their spectral response,which hinders effective information acquisition in multispectral scenes.Here,we introduce a twoterminal thin-film event-based vision sensor that innovatively integrates an inorganic oxide p-n junction with the pyro-phototronic effect,synergistically combining the photovoltaic and pyroelectric mechanisms.This innovation enables spiking signals with a tenfold increase in responsivity,a dynamic range of 110 dB,and an extended spectral response from ultraviolet(UV)to near-infrared(NIR).With a thin-film sensor array,these spiking signals accurately extract fingerprint edge features even under low-light conditions,benefiting from high sensitivity to minor luminance variations.Additionally,the sensors'broadband spiking response captures richer information,achieving 99.25%accuracy in multispectral dynamic gesture recognition while reducing data processing by over 65%.This approach effectively eliminates redundant data while minimizing information loss,offering a promising alternative to current dynamic perception technologies.
