Master class plan:

Formulation of the problem
Introducing the Jetson Nano
Introducing Google Colab
Introducing the Nvidia TAO Toolkit framework
Working with dataset
Model training in Google Colab
Transfer and launch of the model on the Jetson Nano
Self-learning algorithm on the Jetson Nano
Summary statistics
Results of the project, its limitations and development

Requirements: laptop, knowledge of basic Python, Google account, knowledge of the basics of Computer Vision, knowledge of the basics of ML, if there is a Jetson nano, of any version, we can run the resulting code on the sbc brought

Launch of a self-learning computer vision-based customer behavior analytics algorithm iot sbc jetson nano