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

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 process...

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Bibliographic Details
Published in:Energies (Basel) 2023-09, Vol.16 (18), p.6677
Main Authors: Suder, Jakub, Podbucki, Kacper, Marciniak, Tomasz
Format: Article
Language:English
Subjects:
Airports
Algorithms
Autonomous vehicles
Comparative analysis
Data compression
Data encryption
DVFS
Efficiency
Embedded systems
Energy consumption
Lamps
microprocessor power modes
Neural networks
NVIDIA Jetson
Raspberry Pi
Semiconductor industry
video analysis
Vision systems
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Summary: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 × 1080 pixels and a power consumption of about 19 W for 24 FPS for both algorithms tested.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16186677