DealWithIt - Real Time Price Checker with Object Recognition

• Main Author: Eng, Yvonne Xin Yee
• Format: Final Year Project / Dissertation / Thesis
• Published: 2024
• Subjects: T Technology (General); TD Environmental technology. Sanitary engineering; TH Building construction
• Online Access: http://eprints.utar.edu.my/6677/1/fyp_CS_2024_EYXY.pdf; http://eprints.utar.edu.my/6677/
• Institution: Universiti Tunku Abdul Rahman

This project is focused on the field of Computer Vision (CV) for size measurement and object detection, machine learning for product recognition, Kivy for the front-end displaying in mobile application and real-time database with automated web scraping. It aims to solve the issues of consumers who always need to spend a large amount of time comparing the prices for the same product from different supermarkets. They also face confusion when the price is not as advertised, or the size of the product is not the same as previously bought. As such, a real-time price checker with product recognition and size measurement system in this project is needed to solve their problems by using web scraping to extract updated pricing information from online retailer websites to be stored in the real-time database. A machine learning model for product recognition will be built in this project to automatically recognize the type of product and retrieve its related information from the database. CV will be used to get the size dimensions from the product detected. The prices in the database will be updated regularly according to the prices from their respective supermarkets so that consumers will not get the wrong information. Overall, the functionalities include object detection, product recognition, size measurement, volume estimation, real-time database and web scraping with some steps in preprocessing of images. The functions will then be integrated and displayed on a mobile application so that consumer can just use their smartphone to scan and get product information in real-time easily.