Solemate: a smart feet analyzer system in shoe boutiques and department stores/
Joshua C. Buenaventura, Clarence F. Calleja, Winson A. Miranda, Marjorie C. Santiago, Janeil Vincent S. Ticman, and Johndel Patrick P. Torrizo.--
- Manila: Technological University of the Philippines, 2025.
- 145pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
Includes bibliographic references and index.
Conventional shoe fitting methods are subject to inherent limitations, notably the potential for human error and the risk of pathogen transmission. To address these concerns, this paper presents the design, development, and evaluation of a smart feet analyzer system. A key component of this system is an integrated 1080p web camera attached at an angle for accurate image acquisition of the user's feet. Specialized software algorithms are utilized to process the captured images, enabling precise dimensional analysis based on pixel information. These measurements are then converted into standard shoe sizing formats and used to find and recommend suitable shoe options from the database. Furthermore, the system incorporates an omnidirectional movement platform to enhance user accessibility. This platform employs four geared direct current (DC) motors coupled with mecanum wheels, facilitating adaptable positioning for diverse users. The following sections delineate the system's design specifications, development process, and the evaluation methodologies employed to assess the performance of the smart feet analyzer system. The prototype demonstrated an accuracy of 96.60% in scanning the left foot and 94.72% for the right foot. The prototype’s performance was evaluated and achieved a very good rate of 4.31%. The prototype still has a lot to be improved on such as incorporating the side cameras into the scanning system to detect the side profile and arch of the foot, as well as increasing the accuracy of foot detection by expanding the model’s dataset.
Shoe recommendation system Foot size measurement Foot scanning