The Analysis System of Assessment of Smartphones Pawned with Deep Learning Supakorn Nakvijitpaitoon1, Tawin Tanawong1,*
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Abstract
A method was developed web application of price assessment of a smartphones pawned by using Deep learning. In the experiments, three datasets collected by smartphones for a total of 4,026 subjects are used for eveluations. It is proposed the forecasting with the image processing, the TensorFlow library, the Deep learning library, and the CNN algorithm techniques. The experiments show that the prototype model for price assessment of a smartphones pawned achieves an accuracy values of the front and back view images of smartphones status at 74.50% and at 82.90%, respectively. A prototype model was developed web application that is designed to work on all devices by using software tools such as subline text, PHP, and JavaScript.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
ลิขสิทธิ์ต้นฉบับที่ได้รับการตีพิมพ์ในวารสารนวัตกรรมวิทยาศาสตร์เพื่อการพัฒนาอย่างยั่งยืนถือเป็นกรรมสิทธิ์ของคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต ห้ามผู้ใดนำข้อความทั้งหมดหรือบางส่วนไปพิมพ์ซ้ำ เว้นแต่จะได้รับอนุญาตอย่างเป็นลายลักษณ์อักษรจากคณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสวนดุสิต นอกจากนี้ เนื้อหาที่ปรากฎในบทความเป็นความรับผิดชอบของผู้เขียน ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากเทคนิคการพิมพ์
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