Vol. 2 No. 1 (2022): African Journal of Artificial Intelligence and Sustainable Development
Articles

Event-based Vision Sensors - Applications and Algorithms: Investigating event-based vision sensors and algorithms for high-speed, low-latency processing of visual information in dynamic scenes

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  • Dr. Emily Chen
Dr. Emily Chen
Associate Professor of Computer Science, City College of New York, USA
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Published 02-02-2022

Keywords

  • Event-based vision sensors,
  • dynamic scenes
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Emily Chen, “Event-based Vision Sensors - Applications and Algorithms: Investigating event-based vision sensors and algorithms for high-speed, low-latency processing of visual information in dynamic scenes”, African J. of Artificial Int. and Sust. Dev., vol. 2, no. 1, pp. 60–68, Feb. 2022, Accessed: Nov. 24, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/106

Abstract

Event-based vision sensors have emerged as a promising technology for processing visual information in dynamic scenes with high speed and low latency. Unlike traditional frame-based sensors, event-based sensors asynchronously detect changes in brightness, leading to more efficient processing of visual data. This paper provides an overview of event-based vision sensors, their underlying principles, and the algorithms used for processing the data they generate. We discuss the applications of event-based vision sensors in various fields, including robotics, autonomous vehicles, and augmented reality. Additionally, we analyze the advantages and challenges of using event-based sensors compared to traditional sensors and highlight future research directions in this rapidly evolving field.

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