Review of the Intelligent Sensor‐Memory‐Control Fusion Systems. Issue 1 (3rd December 2022)

• Record Type: Journal Article
• Authors: Chen, Yixuan; Wu, Xinyue; Shen, Junhao; Huang, Zepeng; Wang, Zhongrui; Lyu, Liangjian; Bi, Hengchang; Wu, Xing; Shen, Guozhen
• Is Part Of: ADVANCED SENSOR RESEARCH. Volume 2:Issue 1(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-12-03
• Subjects: actuators -- flexible electronics -- in‐memory computing -- intelligent systems -- sensors; 681.2
• DOI: 10.1002/adsr.202200034
• Languages: English
• ISSNs: 2751-1219

Abstract

Abstract: The ability to sense light, heat, and touch is vital for human beings, underpinning the interaction between humans and the environment. To mimic the biological perception system, the sensory system converts external light, heat, and mechanical inputs into electrical signals, then processing and storing the data in digital hardware before providing feedback. However, modern digital sensing‐processing systems based on the von Neumann architecture are facing significant challenges in power consumption and latency due to the unprecedented increase in data size and algorithm complexity. A promising solution is to integrate sensors, memory, and control. Here the "state‐of‐the‐art" fusion systems involved in the sensing of visual, olfactory, tactile, visual signals, and control is reviewed. The challenges in high performance and reliability are also discussed. Abstract : Sensing, processing, and responding to external stimuli signals is the aim of intelligent sensory perception systems. Most of the modern sensory systems separate sensors, memory, and control modules, resulting in high power consumption and latency. A promising solution is integrating them together. Here the "state‐of‐the‐art" fusion systems are reviewed.