2018 International Conference on Construction, Aviation and Environmental Engineering | |
The design research of an intelligent vehicle-mounted/maintenance alarm system based on image recognition technology | |
生态环境科学;生物科学 | |
Yan, Hao^1 ; Liu, Xuetao^1 ; Lin, Shuxin^1 ; Yang, Hong^1 | |
School of Energy and Power Engineering WUT, Wuhan University of Technology, Wuhan, Hubei province | |
430000, China^1 | |
关键词: CO2 concentration; Communication technologies; Electronic information; Emergency handling; Image recognition technology; Main control board; Traffic monitoring; Ventilation systems; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/233/3/032009/pdf DOI : 10.1088/1755-1315/233/3/032009 |
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来源: IOP | |
【 摘 要 】
with the continuous progress of the society, in recent years, the image recognition technology has a rapid development, whose new application fields are expanding. The intelligent automotive electronic information system and traffic monitoring research based on image recognition have become a new means to solve some social problems. At present, cars have become a necessity for many families, but at the same time, it has also brought a series of social problems, for example, the elderly and children were locked in the car and suffocated by the tragedy is often reported. In order to prevent these accidents, this paper proposes an intelligent vehicle-mounted/maintenance alarm system based on image recognition. Using deep learning algorithm of system main control board as the carrier, the system connects the temperature, pressure and CO2 concentration sensor and camera equipment, with the aid of technologies such as 4G communication technology, image recognition, automatically monitoring in the car, when there were something abnormal, it would timely alarm to remind the owner, and start the ventilation system of emergency handling, in order to solve corresponding problems.
【 预 览 】
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The design research of an intelligent vehicle-mounted/maintenance alarm system based on image recognition technology | 1140KB | download |