{"title":"基于Xilinx Zynq平台的高电平合成视频边缘检测硬件加速","authors":"T. Saidani, R. Ghodhbani","doi":"10.48084/etasr.4615","DOIUrl":null,"url":null,"abstract":"The study conducted in the current paper consists of validating an original design flow for the rapid prototyping of real-time image and video processing applications on FPGAs. A video application for edge detection with Simulink HDL coder and Vivado High-Level Synthesis (HLS) has been designed as if the code was going to be executed on a conventional processor. The developed tools will automatically translate the code into VHDL hardware language using an advanced compilation technique. This amounts to embedding processors on Xilinx Zynq-7000 System on-Chip (SoC) device in an optimal manner. This automated hardware design flow reduces the time to create a prototype since only the high-level description is required. The design of the video edge detection system is implemented on Xilinx Zynq-7000 platform. The result of the implementation gave effective resource utilization and a good frame rate (95 FPS) under 170MHz frequency.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"30 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hardware Acceleration of Video Edge Detection with Hight Level Synthesis on the Xilinx Zynq Platform\",\"authors\":\"T. Saidani, R. Ghodhbani\",\"doi\":\"10.48084/etasr.4615\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study conducted in the current paper consists of validating an original design flow for the rapid prototyping of real-time image and video processing applications on FPGAs. A video application for edge detection with Simulink HDL coder and Vivado High-Level Synthesis (HLS) has been designed as if the code was going to be executed on a conventional processor. The developed tools will automatically translate the code into VHDL hardware language using an advanced compilation technique. This amounts to embedding processors on Xilinx Zynq-7000 System on-Chip (SoC) device in an optimal manner. This automated hardware design flow reduces the time to create a prototype since only the high-level description is required. The design of the video edge detection system is implemented on Xilinx Zynq-7000 platform. The result of the implementation gave effective resource utilization and a good frame rate (95 FPS) under 170MHz frequency.\",\"PeriodicalId\":11826,\"journal\":{\"name\":\"Engineering, Technology & Applied Science Research\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2022-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering, Technology & Applied Science Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48084/etasr.4615\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering, Technology & Applied Science Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48084/etasr.4615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Hardware Acceleration of Video Edge Detection with Hight Level Synthesis on the Xilinx Zynq Platform
The study conducted in the current paper consists of validating an original design flow for the rapid prototyping of real-time image and video processing applications on FPGAs. A video application for edge detection with Simulink HDL coder and Vivado High-Level Synthesis (HLS) has been designed as if the code was going to be executed on a conventional processor. The developed tools will automatically translate the code into VHDL hardware language using an advanced compilation technique. This amounts to embedding processors on Xilinx Zynq-7000 System on-Chip (SoC) device in an optimal manner. This automated hardware design flow reduces the time to create a prototype since only the high-level description is required. The design of the video edge detection system is implemented on Xilinx Zynq-7000 platform. The result of the implementation gave effective resource utilization and a good frame rate (95 FPS) under 170MHz frequency.