What is it about?
This article discusses the development of a computer vision training kit designed to help with distance learning during the COVID-19 pandemic. The authors explain that the kit allows students to access laboratory workouts from anywhere, using a Single Board Computer of NVIDIA Jetson Nano. The authors use the waterfall model for the development process and explain that the kit can be accessed using a camera input on the user's device, connected through a streaming website. The connection is established using the Remote Desktop Protocol, and the IoT part of the tool uses Antares Cloud Storage. The computer vision program can change the state of the device via an ESP32 microcontroller. The entire process can be monitored on a web portal containing a summary of the process on each module. Overall, this article describes a tool that enables students to participate in laboratory workouts remotely, helping to overcome the challenges of distance learning during the COVID-19 pandemic.
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Why is it important?
This article is important because it presents a solution to the challenges faced by students and educators during the COVID-19 pandemic, particularly in terms of distance learning. The computer vision training kit described in the article allows students to access laboratory workouts from anywhere, enabling them to continue their education remotely. The tool is designed to be user-friendly and easy to access, using a camera input on the user's device connected through a streaming website, and a remote desktop protocol to establish a connection. Additionally, the IoT part of the tool uses Antares Cloud Storage, which allows the computer vision program to change the state of the device via an ESP32 microcontroller. This solution offers a flexible and effective way to deliver laboratory workouts to students, which can be important for students who do not have access to traditional laboratory settings or who are learning remotely due to the pandemic.
Perspectives
This article presents a computer vision training kit that enables students to access laboratory workouts from anywhere. The kit uses a Single Board Computer of NVIDIA Jetson Nano and Antares Cloud Storage for IoT, making it a flexible and user-friendly solution for remote learning during the COVID-19 pandemic.
Fahmi Jabbar
Universitas Pendidikan Indonesia
Read the Original
This page is a summary of: Design of computer vision training kit with machine learning algorithm to overcome distance learning in pandemic COVID-19, January 2023, American Institute of Physics,
DOI: 10.1063/5.0139406.
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