AN EFFECTIVE APPROACH TO FACE RECOGNITION WITH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS USING NVIDIA JETSON NANO

Abstract

This study examines how artificial intelligence (AI) can be incorporated into the Internet of Things (IoT), with a particular focus on using the NVIDIA Jetson Nano as a specialized AI platform. The aim is to boost the functional capabilities of IoT devices, allowing them to independently carry out sophisticated data analysis and decision-making tasks to heighten their efficiency and effectiveness. The paper begins by outlining the motivation for this investigation, then proceeds with a literature review to evaluate the prospective applications, challenges, and benefits of AI in IoT environments. It explores in detail the technical attributes of the NVIDIA Jetson Nano, including its compact design, robust computing power, and the availability of software libraries that facilitate the deployment of AI models on devices with limited resources. A prototype IoT device equipped with the NVIDIA Jetson Nano was developed at Tien Giang University. This device is capable of capturing video and executing AI algorithms for real-time analysis, thereby deriving crucial data for IoT decision-making processes. The outcomes and structure of this prototype exhibit the potential for wider application, particularly in facial recognition technologies. The discussion on this subject extends beyond the confines of this document, indicating ongoing developments and enhancements.

Keywords

• AI
• AIoT
• Face detection
• Face recognition
• Jetson Nano.