Yin Jibin, Zhao Jia'nan, Zhang Xiangliang
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China.
School of Mechanical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
PeerJ Comput Sci. 2024 Oct 29;10:e2404. doi: 10.7717/peerj-cs.2404. eCollection 2024.
How to design an intelligent multimodal fusion hazard prediction system using AIoT (Artificial Intelligence & Internet of Things) technology to predict some potential dangers. This article will provide some ideas and methods.
This article designs an intelligent multimodal fusion hazard prediction system based on AIoT technology. The system mainly consists of an IoT hardware device and an AI multimodal and multi-dimensional Hazard Prediction Algorithm.
This article will take baby cribs as an example, using this system to empower traditional baby cribs and transform them into intelligent baby cribs.
In this example, the system can detect the real-time status of the baby and predict upcoming dangers, including kicking the quilt, wetting the bed, fever, crying, climbing over the crib, and turning over.
Assuming that intelligent systems can detect the status of infants in real-time and make predictions before potential dangers occur, to promptly alert parents. Perhaps it can prevent some irreversible dangers from occurring.
This system solves the pain point problem of parents having to take care of their babies after working hard.
In this scenario, the system provides a design scheme for an intelligent multimodal fusion hazard prediction system with a temporary care function. The application of this system to baby cribs not only reduces the burden on parents but also ensures the safety and comfort of the baby.
At the same time, the system has transferability, and its design concept can be transferred to other application scenarios, such as hospital care for infants, young children, or elderly patients, as well as childcare stations for abandoned children in society.
This innovative system design scheme has a positive significance for family harmony and social development.
如何利用人工智能物联网（AIoT）技术设计一个智能多模态融合危险预测系统，以预测一些潜在危险。本文将提供一些思路和方法。
本文设计了一种基于AIoT技术的智能多模态融合危险预测系统。该系统主要由一个物联网硬件设备和一个人工智能多模态多维度危险预测算法组成。
本文将以婴儿床为例，使用该系统赋能传统婴儿床，将其转变为智能婴儿床。
在这个例子中，该系统可以检测婴儿的实时状态并预测即将发生的危险，包括踢被子、尿床、发烧、哭泣、翻越婴儿床和翻身。
假设智能系统能够实时检测婴儿的状态，并在潜在危险发生前进行预测，以便及时提醒父母。或许它可以防止一些不可逆转的危险发生。
该系统解决了父母在辛苦工作后还要照顾婴儿的痛点问题。
在这种场景下，该系统提供了一种具有临时护理功能的智能多模态融合危险预测系统的设计方案。该系统应用于婴儿床不仅减轻了父母的负担，还确保了婴儿的安全和舒适。
同时，该系统具有可转移性，其设计理念可以转移到其他应用场景，如医院对婴幼儿或老年患者的护理，以及社会上弃婴的保育站。
这种创新的系统设计方案对家庭和谐和社会发展具有积极意义。
