- Project Duration: 01/29/2024-12/19/2024

- InBody Co., Ltd (Internship)

- Consumer Electronics Show 2025

- Team Member: Jaeho Kim (Team Lead.), Sewon Kim (SW & AI Lead.), Seungseo Park, Soohyeon Ga (Hardware Lead.), Yeongjin Kim, Wongoon Lee, Mingwan Seol, Soohong Lim

As the SW & Vision AI Team Leader, I have developed a computer vision AI solution for the new InBody Scale AI product. This involved researching and enhancing the performance of height estimation algorithms using a low-performance monocular camera and limited computing resources. Additionally, I developed a face verification solution, along with the necessary pipeline and database for it.

Existing height estimation algorithms and papers using vision assume that the user's entire body is within the camera's field of view. However, due to the mechanical characteristics of the InBody device, the user's full body does not fit within the camera's field of view. Our attempt to estimate height under these conditions is unprecedented. In our first experiment, we achieved an average error of 0.6% and a maximum error of 1%. We tackled the ultimate problem of height estimation by breaking it down into sub-problems where computer vision AI can excel: Object Detection and Semantic Segmentation. To achieve this, we designed and utilized a structure that allows the camera to move via motors and rails.