IoT Application Development Using NVIDIA Jetson Nano: A Comprehensive Analysis and Implementation Approach
Year: 2025
Type: article
Abstract: The research provides an extensive evaluation of the NVIDIA Jetson Nano development board which serves Internet of Things (IoT) applications through its technical details and operational characteristics and its deployment in contemporary IoT systems. The research examines the board's structure and AI processing capabilities and power consumption and its adaptability for different IoT applications by using theoretical methods and performance testing. The Jetson Nano provides exceptional AI capabilities through its 472 GFLOPS computing power and operates at 5-10W power consumption levels. The research helps explain edge AI operations in limited IoT settings and offers functional implementation methods for smart city and industrial automation and autonomous systems applications.
Authors: Manas Girish Kulkarni, Rajlakshmi Nilesh Desai, Samiksha Shailesh Nalawade, Dr. Pravin G. Gawande
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7094955828
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