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- W4313269966 abstract "This paper develops a remote video monitoring system based on ARM; the hardware of the system is based on the ARM S3C2440 embedded chip, and the circuit structure of the main modules such as power supply, Ethernet interface, JTAG interface, and data storage of the hardware system is designed; The software of the system uses Linux as the operating system, uses Video4 Linux to complete video image acquisition, uses JPEG image compression technology to realize video compression processing, and uses real-time transmission protocol RTP to realize video image encapsulation, network transmission, and control. The experimental results show that the method can simultaneously perform real-time online detection of various anomalies such as occlusion, blurring and scene switching that suddenly appear in remote video surveillance, and the accuracy rate can reach 88.75%." @default.
- W4313269966 created "2023-01-06" @default.
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- W4313269966 date "2022-10-28" @default.
- W4313269966 modified "2023-10-18" @default.
- W4313269966 title "Research on Image Recognition Technology Based on Artificial Intelligence under Computer Big Data" @default.
- W4313269966 doi "https://doi.org/10.1109/icdsca56264.2022.9987761" @default.
- W4313269966 hasPublicationYear "2022" @default.
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