S-CarCrash: Real-time crash detection analysis and emergency alert using smartphone

Author(s):  
Harit Sharma ◽  
Ravi Kanth Reddy ◽  
Archana Karthik
Keyword(s):  
2021 ◽  
Author(s):  
Gustavo Gonzalez-Granadillo ◽  
Rodrigo Diaz ◽  
Theodora Karali ◽  
Juan Caubet ◽  
Ignasi Garcia-Milà

2019 ◽  
Vol 7 (10) ◽  
pp. 191-200
Author(s):  
Manthan Shenoy ◽  
◽  
Piyush Sonkusle ◽  

2020 ◽  
Vol 145 ◽  
pp. 02058
Author(s):  
Yuancheng Zhu ◽  
Zhipeng Lei ◽  
Xizhong Li ◽  
Wei Zheng ◽  
Deyu Song

With the development of intelligent theory of computer vision and the popularization of surveillance cameras, intelligent video analysis and surveillance technology has been widely used. The traditional video monitoring system will produce a large amount of video information in the application process, which is not conducive to the storage and reference of information, and it can not carry out real-time warning, and has poor robustness to the bad environment. In view of these disadvantages, this paper proposes an improved video enhancement and concentration method, which has a good effect in ensuring the video concentration ratio and the target loss rate, and can improve the shortcomings brought by manual reference. Aiming at the problem of real-time early warning, an intelligent video analysis method is proposed to realize the functions of event alarm and detection analysis. It is of great significance to improve the video monitoring management level of the substation and realize the unattended operation of the substation.


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