Abstract
Expiry dates are general information that every product has. It represents the recommended period to use a product. However, it is hard to keep track of the expiry date when there are many products to keep. In this work, we aim to solve the problem using the transfer learning technique in deep learning. We trained a Convolutional Neural Network (CNN) - Inception ResNet V2 with a synthetic data set that contains images of near-reality expiry dates. The Inception ResNet V2 has achieved an accuracy of 0.9964 using synthetic images and an accuracy of 0.9612 using real noisy images. Training and deploying the Inception ResNet v2 into the mobile application we built help users record and track expiry dates fast and efficiently. The usability test we conducted gave a score of 85.7 based on the System Usability Scale (SUS). The score shows that users had a good experience using the mobile application.
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Ong, WY., Too, CW., Khor, KC. (2021). Transfer Learning on Inception ResNet V2 for Expiry Reminder: A Mobile Application Development. In: Bentahar, J., Awan, I., Younas, M., Grønli, TM. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2021. Lecture Notes in Computer Science(), vol 12814. Springer, Cham. https://doi.org/10.1007/978-3-030-83164-6_12
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