Parts Identification System for Elevator Service

Our client, a leading elevator maintenance service provider, was struggling with parts identification due to high similarity among components. Their existing manual identification processes, done by service personnel, were inefficient. With thousands of unique elevator parts in their inventory, it was becoming increasingly difficult for them to manage identification. The outcome was drastic–frequent cases of incorrect shipments, maintenance delays, and increased operational costs. The client approached the X-Byte team to develop an advanced parts identification system using AI and computer vision technology.  

X-Byte, with its core competencies in computer vision software development and AI-driven image recognition technologies, developed a powerful real-time elevator parts identification system that transformed how it managed inventory and reduced identification errors.

X-Byte’s computer vision experts clearly defined the objectives:

Our system has different sorting and classification tools for each type of elevator part, ranging from mechanical pieces and electronic parts to structural components. X-Byte’s development team created comprehensive custom datasets through both automated and manual image labeling processes. X-Byte’s ai development team integrated a comprehensive real-time dashboard that eliminated the visibility gap in parts management operations. We enabled AI-based elevator parts tracking and identification in a user-friendly interface.