Design of Computer Vision Training Kit with Machine Learning Algorithm to Overcome Distance Learning in Pandemic COVID-19 Period Dandhi Kuswardhana*, Erik Haritman, Fahmi Jabbar, Fikri Nashrullah
*dandhi[at]upi.edu
Department of Electrical Engineering Education,
Faculty of Technology and Vocational Education,
Universitas Pendidikan Indonesia
Abstract
The situation in pandemic COVID-19 Period has enforced the education system comes into the different way of learning. This paper has oriented how to present laboratory workout through computer vision training kit to overcome distance learning in the pandemic era. Thus, student (as the user) can use it anywhere. The environment used is on a Single Board Computer of NVIDIA Jetson Nano. The connection is established using Remote Desktop Protocol. The method was the camera input would be using user camera attached on their device. The user camera and the training kit was connected through a streaming website. IoT part of the tool was established using an Antares Cloud Storage, so the state of the device in ESP32 Microcontroller could be changed from the model testing part. The whole process as the result can be inspected on another web portal that containing the summary of the process on each module.
