Applications of Computer Vision and Human—Machine Interaction in Environmental Monitoring

Bocheng Zhu

2025

Abstract

With the development of artificial intelligence, the integration of computer vision and human-computer interaction is completely changing the paradigm of environmental monitoring technology. Traditional environmental monitoring systems rely on decentralized sensor networks to transmit data back to a central server, which limits real-time performance and decision-making efficiency. This study developed an intelligent environmental monitoring system based on edge cloud collaborative architecture, multimodal data fusion, and holographic imaging technology. Lightweight edge computing nodes are deployed at the sensor end to perform local data preprocessing, reduce the cloud transmission load by 80%, and control the end-to-end delay within 20ms. Cloud utilizes artificial intelligence algorithms to integrate structured and unstructured data, generating high-precision environmental state models. Dynamic holographic images are formed through light field projection and support gesture-based interaction to accurately locate problem areas. Finally, the challenges and advantages of the technology were analyzed. In the future, with the help of algorithm lightweighting, hardware innovation, and policy support, the system is expected to expand to scenarios such as automated agriculture and urban flood warning, achieving large-scale application of ecological protection.

Paper Citation

in Harvard Style

Zhu B. (2025). Applications of Computer Vision and Human—Machine Interaction in Environmental Monitoring. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 61-65. DOI: 10.5220/0014320300004718

in Bibtex Style

@conference{emiti25,
author={Bocheng Zhu},
title={Applications of Computer Vision and Human—Machine Interaction in Environmental Monitoring},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={61-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014320300004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Applications of Computer Vision and Human—Machine Interaction in Environmental Monitoring
SN - 978-989-758-792-4
AU - Zhu B.
PY - 2025
SP - 61
EP - 65
DO - 10.5220/0014320300004718
PB - SciTePress