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.--

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in mechatronics technology: Technological University of the Philippines,

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.