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Design of Fire Alarm System Based on K210 and Deep Learning

Published: 14 March 2022 Publication History

Abstract

The fire alarm system can send out alarm signal timely in the early stage of the fire, which can effectively control the fire and reduce the loss caused by the fire. Aiming at indoor fire warning, a fire detection and alarm system based on K210 and Yolov2 is designed. The image information is obtained by the image sensor in real time and sent to the main control chip, and then the main control carries out the convolutional neural network operation detection. Sound and light alarm can be realized when a fire is detected.

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Cited By

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  • (2024)Lightweight Underwater Object Detection Algorithm for Embedded Deployment Using Higher-Order Information and Image EnhancementJournal of Marine Science and Engineering10.3390/jmse1203050612:3(506)Online publication date: 19-Mar-2024

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cover image ACM Other conferences
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
October 2021
3136 pages
ISBN:9781450385046
DOI:10.1145/3495018
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2022

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  • (2024)Lightweight Underwater Object Detection Algorithm for Embedded Deployment Using Higher-Order Information and Image EnhancementJournal of Marine Science and Engineering10.3390/jmse1203050612:3(506)Online publication date: 19-Mar-2024

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