Power Requirements Evaluation of Embedded Devices for Real-Time Video Line Detection

被引：0
|
作者：
Suder, Jakub [1 ]
Podbucki, Kacper [1 ]
Marciniak, Tomasz [1 ]
机构：
[1] Poznan Univ Tech, Inst Automatic Control & Robot, Div Elect Syst & Signal Proc, Piotrowo 3A, PL-60965 Poznan, Poland
来源：
ENERGIES | 2023年 / 16卷 / 18期
基金：
欧盟地平线“2020”;
关键词：
microprocessor power modes; embedded systems; DVFS; NVIDIA Jetson; Raspberry Pi; video analysis; line detection;
D O I：
10.3390/en16186677
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, the comparison of the power requirements during real-time processing of video sequences in embedded systems was investigated. During the experimental tests, four modules were tested: Raspberry Pi 4B, NVIDIA Jetson Nano, NVIDIA Jetson Xavier AGX, and NVIDIA Jetson Orin AGX. The processing speed and energy consumption have been checked, depending on input frame size resolution and the particular power mode. Two vision algorithms for detecting lines located in airport areas were tested. The results show that the power modes of the NVIDIA Jetson modules have sufficient computing resources to effectively detect lines based on the camera image, such as Jetson Xavier in mode MAXN or Jetson Orin in mode MAXN, with a resolution of 1920 x 1080 pixels and a power consumption of about 19 W for 24 FPS for both algorithms tested.
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页数：20
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