Interactive Learning Media for Fruit Recognition in Early Childhood Using Backpropagation

Sahenda, Lalitya Nindita (2023) Interactive Learning Media for Fruit Recognition in Early Childhood Using Backpropagation. nternational Conference on Social Science, Humanity and Public Health.

	Text 2023_EUDL_Similarity_Interactive Learning Media for Fruit Recognition in Early Childhood Using Backpropagation - Lalitya Nindita.pdf - Supplemental Material Available under License Creative Commons Attribution Share Alike. Download (1MB)
	Text 2023_EUDL_Interactive Learning Media for Fruit Recognition in Early Childhood Using Backpropagation.pdf - Published Version Download (717kB)

Abstract

The challenges faced by early childhood education in rural areas include an inadequate number of teachers, inadequate facilities and infrastructure, and limited foreign language skills of students. To solve these problems, an interactive, easy, and interesting learning media was created to make students participate actively, help them recognise objects in foreign languages, and adjust the school need (especially schools with a limited number of teachers). Fruit was chosen as the subject of the study because students recognise various popular fruits but do not know their names in English. Computer vision with the backpropagation method was applied to classify and identify 11 types or 789 images of popular fruits. There are seven parameters learned such as red, green, blue, area, perimeter, shape, and diameter colour features. The optimal learning rate of 0.4 and maximum iterations of 500 resulted in a system accuracy rate of 100%.

Actions (login required)

View Item