Affiliation:
1. Key Laboratory of Polar Materials and Devices (MOE), Ministry of Education, Shanghai Center of Brain‐inspired Intelligent Materials and Devices, Department of Electronics East China Normal University Shanghai the People's Republic of China
2. Zhejiang Lab Hangzhou the People's Republic of China
3. Collaborative Innovation Center of Extreme Optics Shanxi University Shanxi the People's Republic of China
Abstract
AbstractRapid developments in the Internet of Things and Artificial Intelligence trigger higher requirements for image perception and learning of external environments through visual systems. However, limited by von Neumann's bottleneck, the physical separation of sense, memory, and processing units in a conventional personal computer‐based vision system tend to consume a significant amount of energy, time latency, and additional hardware costs. By integrating computational tasks of multiple functionalities into the sensors themselves, the emerging bio‐inspired neuromorphic visual systems provide an opportunity to overcome these limitations. With high speed, ultralow power and strong adaptability, it is highly desirable to develop a neuromorphic vision system that is based on highly precise in‐sensor computing devices, namely retinomorphic devices. We here present a timely review of retinomorphic devices for visual in‐sensor computing. We begin with several types of physical mechanisms of photoelectric sensors that can be constructed for artificial vision. The potential applications of retinomorphic hardware are, thereafter, thoroughly summarized. We also highlight the possible strategies to existing challenges and give a brief perspective of retinomorphic architecture for in‐sensor computing.image
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Subject
Materials Chemistry,Surfaces, Coatings and Films,Materials Science (miscellaneous),Electronic, Optical and Magnetic Materials
Cited by
4 articles.
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