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Free-space optical encoder for computer vision

Tallennettuna:
Julkaisussa:NPJ Nanophotonics vol. 2, no. 1 (Dec 2025), p. 36-48
Päätekijä: Choi, Minho
Muut tekijät: Majumdar, Arka
Julkaistu:
Nature Publishing Group
Aiheet:
Navigation systems
Integrated circuits
Data processing
Internet of Things
Sensors
Optical wireless
Semiconductors
Computer vision
Scene analysis
Spatial resolution
Optical encoders
Neural networks
Network latency
Wearable technology
Power management
Design
Algorithms
Connectivity
Optical data processing
Autonomous navigation
Light
Optics
Free space optics
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Abstrakti:The rise of the Internet of Things, autonomous navigation systems, and wearable devices created a growing need for ultra-compact, low-power, low-latency vision sensors that bridge the physical and digital worlds. Vision sensors capture vast amount of data that require swift processing for semantic scene understanding. However, most computer vision algorithms suffer from large power consumption and latency, necessitating the sacrifice of spatial resolution. Optical systems can potentially address these issues with large parallelism and spatial bandwidth for visual data processing. Particularly, free-space optical systems (encoders) can be easily adapted to conventional imaging systems. This paper details the current state of free-space optical encoders and discusses future opportunities for innovations. We also provide insights on where we can achieve optical advantages for computer vision tasks based on empirical evidences.
ISSN:2948-216X
DOI:10.1038/s44310-025-00082-5
Lähde:Materials Science Database