Zobrazeno 1 - 10
of 860
pro vyhledávání: '"Flame detection"'
Publikováno v:
Sensors, Vol 24, Iss 19, p 6383 (2024)
This paper introduces a lightweight flame detection algorithm, enhancing the accuracy and speed of gas-flame state recognition in low-pressure environments using an improved YOLOv8n model. This method effectively resolves the aforementioned problems.
Externí odkaz:
https://doaj.org/article/1c284f363fc8469081271a14656ba5af
Publikováno v:
Journal of Safety Science and Resilience, Vol 4, Iss 3, Pp 294-304 (2023)
Fire-detection technology plays a critical role in ensuring public safety and facilitating the development of smart cities. Early fire detection is imperative to mitigate potential hazards and minimize associated losses. However, existing vision-base
Externí odkaz:
https://doaj.org/article/7b6e82d6d5fa45dfac5a0f3533dcda0f
Publikováno v:
Case Studies in Thermal Engineering, Vol 51, Iss , Pp 103517- (2023)
This research investigates the fire suppression effectiveness of sprinklers in a large atrium of a public transport hub in Taipei, Taiwan, during a fire using FDS. The thermally-activated sprinkler had the shortcoming of delayed activation, with a th
Externí odkaz:
https://doaj.org/article/1de9e9286deb464399e6953d9433ec8a
Autor:
Yingshu Peng, Yi Wang
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 551-567 (2022)
Fire detection based on computer vision technology can avoid many flaws in conventional methods. However, existing methods fail to achieve a good trade-off in accuracy, model size, speed, and cost. This paper presents a high-performance forest fire r
Externí odkaz:
https://doaj.org/article/a33fd43a4c914f0dac51f0e2f845348d
Akademický článek
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Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 20, p 8616 (2023)
Timely and accurate flame detection is a very important and practical technology for preventing the occurrence of fire accidents effectively. However, the current methods of flame detection are still faced with many challenges in video surveillance s
Externí odkaz:
https://doaj.org/article/382601d58748443393a9931e6b364c2a
Autor:
Kuldoshbay Avazov, Muhammad Kafeel Jamil, Bahodir Muminov, Akmalbek Bobomirzaevich Abdusalomov, Young-Im Cho
Publikováno v:
Sensors, Vol 23, Iss 16, p 7078 (2023)
Fire incidents occurring onboard ships cause significant consequences that result in substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on matters such as the safety of the crew, cargo, the environment, finances, r
Externí odkaz:
https://doaj.org/article/171e0210b2584f9db5eef2068406f618
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9236 (2023)
Flame recognition is of great significance in fire prevention. However, current algorithms for flame detection have some problems, such as missing detection and false detection, and the detection accuracy cannot satisfy the requirements for fire prev
Externí odkaz:
https://doaj.org/article/95ab0201f7664f4894b168f60ddb1f74
Publikováno v:
Fire, Vol 6, Iss 7, p 279 (2023)
One of the major responsibilities for forest police is forest fire prevention and forecasting; therefore, accurate and timely fire detection is of great importance and significance. We compared several deep learning networks based on the You Only Loo
Externí odkaz:
https://doaj.org/article/c79c49dbbe5a4a5c8d48c6b153ec04b3