Huang Ming, Liu Xiao, Yu Fenghao, Li Juan, Huang Jianhua, Ali Wajid, Yang Liuli, Song Boxiang, Li Ziwei
Hunan Institute of Optoelectronic Integration, College of Materials Science and Engineering, Hunan University, Changsha, 410082, P. R. China.
Wuhan National Laboratory for Optoelectronics and School of Physics, Huazhong University of Science and Technology, Wuhan, P. R. China.
Adv Mater. 2025 Jan;37(4):e2412993. doi: 10.1002/adma.202412993. Epub 2024 Dec 8.
Motion recognition based on vision detectors requires the synchronous encoding and processing of temporal and spatial information in wide wavebands. Here, the dual-waveband sensitive optoelectronic synapses performing as graded neurons are reported for high-accuracy motion recognition and perception. Wedge-shaped nanostructures are designed and fabricated on molybdenum disulfide (MoS) monolayers, leading to plasmon-enhanced wideband absorption across the visible to near-infrared spectral range. Due to the charge trapping and release at shallow trapping centers within the device channel, the optoelectronic graded neurons demonstrate remarkable photo-induced conductance plasticity at both 633 and 980 nm wavelengths. A dynamic vision system consisting of 20 × 20 optoelectronic neurons demonstrates remarkable capabilities in the precise detection and perception of various motions. Moreover, neural network computing systems have been built as visual motion perceptron to identify target object movement. The recognition accuracy of dual-wavelength fused images for various motion trajectories has experienced a remarkable enhancement, transcending the previous level of less than 80% to impressive values exceeding 99%.
基于视觉探测器的运动识别需要在宽波段中对时间和空间信息进行同步编码和处理。在此,报道了作为分级神经元的双波段敏感光电突触用于高精度运动识别和感知。在二硫化钼(MoS)单层上设计并制造了楔形纳米结构,导致等离子体增强的从可见光到近红外光谱范围的宽带吸收。由于在器件通道内浅俘获中心处的电荷俘获和释放,光电分级神经元在633和980 nm波长处均表现出显著的光致电导可塑性。由20×20个光电神经元组成的动态视觉系统在各种运动的精确检测和感知方面表现出卓越能力。此外,已经构建了神经网络计算系统作为视觉运动感知器来识别目标物体的运动。对于各种运动轨迹的双波长融合图像的识别准确率有了显著提高,从之前低于80%的水平提升到超过99%的令人印象深刻的值。