posted on 2024-04-11, 07:03authored byYangzhou Qian, Jiayu Li, Wen Li, Wanxin Huang, Haifeng Ling, Wei Shi, Jin Wang, Wei Huang, Mingdong Yi
In the era of the Internet of Things and the rapid progress
of
artificial intelligence, there is a growing demand for advanced dynamic
vision systems. Vision systems are no longer confined to static object
detection and recognition, as the detection and recognition of moving
objects are becoming increasingly important. To meet the requirements
for more precise and efficient dynamic vision, the development of
adaptive multimodal motion detection devices becomes imperative. Inspired
by the varied response rates in biological vision, we introduce the
concept of critical flicker fusion frequency (cFFF) and develop an
organic optoelectronic synaptic transistor with adjustable cFFF. In
situ Kelvin probe force microscopy analysis reveals that light signal
recognition in this device originates from charge transfer in the
poly[(2,6-(4,8-bis(5-(2-ethylhexyl)thiophen-2-yl)benzo[1,2-b:4,5-b′]dithiophene)-co-(1,3-di(5-thiophene-2-yl)-5,7-bis(2-ethylhexyl)-benzo[1,2-c:4,5-c′]dithiophene-4,8-dione)]
(PBDB-T)/pentacene heterojunction, which can be effectively modulated
by gate voltage. Building upon this, we implement different cFFF within
a single device to facilitate the detection and recognition of objects
moving at different speeds. This approach allows for resource allocation
during dynamic detection, resulting in a reduction in power consumption.
Our research holds great potential for enhancing the capabilities
of dynamic visual systems.