{"title":"计算机大数据下基于人工智能的图像识别技术研究","authors":"Li Linjun","doi":"10.1109/ICDSCA56264.2022.9987761","DOIUrl":null,"url":null,"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%.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Image Recognition Technology Based on Artificial Intelligence under Computer Big Data\",\"authors\":\"Li Linjun\",\"doi\":\"10.1109/ICDSCA56264.2022.9987761\",\"DOIUrl\":null,\"url\":null,\"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%.\",\"PeriodicalId\":416983,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)\",\"volume\":\"195 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSCA56264.2022.9987761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSCA56264.2022.9987761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Image Recognition Technology Based on Artificial Intelligence under Computer Big Data
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%.
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