An embedded infrared night vision blind guide system based on machine vision

Pengjie Zhao; Xiaoyue Yan; Quanfeng Guo; Chenxi Liu; Kun Gao

doi:10.1117/12.3007795

19 January 2024 An embedded infrared night vision blind guide system based on machine vision

Pengjie Zhao, Xiaoyue Yan, Quanfeng Guo, Chenxi Liu, Kun Gao

Proceedings Volume 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications; 129600K (2024) https://doi.org/10.1117/12.3007795
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

An intelligent night vision system based on the NVIDIA Jetson Nano embedded AI edge computing platform has been developed and released. This system utilizes near-infrared active illumination imaging technology and applies a deep learning network based on Convolutional Neural Networks (CNN) to perform lane segmentation and obstacle recognition on the acquired night vision images. The processing results are interacted with the user through voice prompts. Firstly, lightweight ENet (Efficient Neural Network) is employed for lane segmentation. Secondly, a lightweight YoloV5 model is deployed on the Jetson Nano to recognize obstacles such as pedestrians on the road ahead. To ensure recognition accuracy and speed, the Tensor RT inference acceleration framework is utilized. Experimental results demonstrate that the system performs well in terms of road segmentation and pedestrian detection output frame rates, providing insight into achieving all-day navigation assistance. However, for better protection of the visually impaired population, the active illumination system of the device requires further improvement, and image processing needs further optimization.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Pengjie Zhao, Xiaoyue Yan, Quanfeng Guo, Chenxi Liu, and Kun Gao "An embedded infrared night vision blind guide system based on machine vision", Proc. SPIE 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications, 129600K (19 January 2024); https://doi.org/10.1117/12.3007795

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