Nvidia Jetson Nano Object Detection

Setup your nvidia jetson nano and coding environment by installing prerequisite libraries and downloading dnn models such as ssd mobilenet and ssd inception pre trained on the 90 class ms coco dataset.

Nvidia jetson nano object detection. This is a report for a final project. Code your own real time object detection program in python from a live camera feed. It could be a pre trained model in tensorflow detection model zoo which detects everyday object like person car dog or it could be a custom trained object detection model which detects your custom objects. Edge computing foresees exponential growth because of developments in sensor technologies network connectivity and artificial intelligence ai.

This easy to use powerful computer lets you run multiple neural networks in parallel for applications like image classification object detection segmentation and speech processing. Nvidia jetson nano is a developer kit which consists of a som system on module and a reference carrier board. Previously you have learned how to run a keras image classification model on jetson nano this time you will know how to run a tensorflow object detection model on it. Jetson nano quadruped robot object detection tutorial.

The purpose of this blog is to guide users on the creation of a custom object detection model with performance optimization to be used on an nvidia jetson nano. It is primarily targeted for creating embedded systems that require high processing power for machine learning machine vision and vide. In this tutorial you ll learn how to setup your nvidia jetson nano run several object detection examples and code your own real time object detection progr. Run several object detection examples with nvidia tensorrt.

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. The power of ai is now in the hands of makers self taught developers and embedded technology enthusiasts everywhere with the nvidia jetson nano developer kit. This article is a project showing how you can create a real time multiple object detection and recognition application in python on the jetson nano developer kit using the raspberry pi camera v2 and deep learning models and libraries that nvidia provides.