Wen-Qiang Wu, Chun-Feng Wang, Su-Ting Han, Cao-Feng Pan
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Recent advances in imaging devices: image sensors and neuromorphic vision sensors
Remarkable developments in image recognition technology trigger demands for more advanced imaging devices. In recent years, traditional image sensors, as the go-to imaging devices, have made substantial progress in their optoelectronic characteristics and functionality. Moreover, a new breed of imaging device with information processing capability, known as neuromorphic vision sensors, is developed by mimicking biological vision. In this review, we delve into the recent progress of imaging devices, specifically image sensors and neuromorphic vision sensors. This review starts by introducing their core components, namely photodetectors and photonic synapses, while placing a strong emphasis on device structures, working mechanisms and key performance parameters. Then it proceeds to summarize the noteworthy achievements in both image sensors and neuromorphic vision sensors, including advancements in large-scale and high-resolution imaging, filter-free multispectral recognition, polarization sensitivity, flexibility, hemispherical designs, and self-power supply of image sensors, as well as in neuromorphic imaging and data processing, environmental adaptation, and ultra-low power consumption of neuromorphic vision sensors. Finally, the challenges and prospects that lie ahead in the ongoing development of imaging devices are addressed.
期刊介绍:
Rare Metals is a monthly peer-reviewed journal published by the Nonferrous Metals Society of China. It serves as a platform for engineers and scientists to communicate and disseminate original research articles in the field of rare metals. The journal focuses on a wide range of topics including metallurgy, processing, and determination of rare metals. Additionally, it showcases the application of rare metals in advanced materials such as superconductors, semiconductors, composites, and ceramics.