Innovation Owner
Miss TASAYA MASAYA
Student
Details
This research presents an AI-powered system using deep learning-based object detection to automate the identification and quantification of dental surgical instruments. The system streamlines inventory processes, reduces manual effort, and integrates data into databases.
This research presents the development of an AI-powered system designed to automate the identification and quantification of dental surgical instruments. By leveraging deep learning-based object detection, the system ensures the completeness of instrument sets post-procedure. The system's ability to process multiple images simultaneously streamlines the inventory process, reducing manual effort and potential errors. The extracted data on instrument quantity and type can be seamlessly integrated into a database for various downstream applications.
Objective
The objectives include evaluating deep learning algorithms for instrument identification, developing a model using dental instrument imagery, and creating a web application prototype for automated counting and reporting.
- To study and compare deep learning algorithms for identifying and counting dental surgical instruments to select the most efficient and accurate model.
- To develop a deep learning model for identifying dental surgical instruments by utilizing instrument imagery for training and development.
- To develop a web application prototype for identifying dental surgical instruments to verify and display instrument counts.