Getting Started: Nvidia Jetson Nano, Object Detection and Classification

Original article was published on Artificial Intelligence on Medium

Getting Started: Nvidia Jetson Nano, Object Detection and Classification

Nvidia Jetson Nano

Future of Edge Computing

Edge computing foresees exponential growth because of developments in sensor technologies, network connectivity, and Artificial Intelligence (AI). The hype of Internet-of-Things, AI, and digitalization have poised the businesses and governmental institutions to embrace this technology as a true problem-solving agent. As the COVID-19 has further fueled the need for digital transformation, there would be even greater demands and expectations for solving some of the problems, the society is facing. On the positive note, we see new developments in the area of edge computing, aiming to solve the challenges of latency, privacy, reliability, and bandwidth.

There exist different edge computing platforms. In this post, we will go through the installation process of Nvidia Jetson Nano. A detailed guide can be found on Nvidia provided link. However, I used a different combination of hardware and method which can give different insights. The experimental setup includes Nvidia Jetson Nano, a USB camera, Gstreamer-CLI, Classification, and Object Detection algorithms.