Web Explainer for Children’s Education with Image Recognition Based on Deep Learning
Moch. Fahmi Risal, Sritrusta Sukaridhoto, Hestiasari Rante · 2019
The web-based children's learning system is very common to talk about. One of the characteristic of learning system for the children is object recognition. But the problem is that it still requires a manual checking process by humans, so it is not efficient. We propose a web explainer for children's education with image recognition based on deep learning. The web system is able to capture and recognize objects from the camera using a deep learning algorithm. Our system consists of web management for the administration of user and video content. Image recognition system is based on Deep Learning algorithms using tensorflow.js. From the experiments, we found that our system accuracy is 0.95 and provide lessons for children and also increase efficiency 15x faster for classes with 30 students.