A Robotic System for Detecting Various Types of Operating Room Syringes Using TensorFlow Lite

Recent advancements in emerging technologies, such as robotics and artificial intelligence, have created unprecedented opportunities for their integration into the medical sciences. These innovations have improved the efficiency and accuracy of medical processes, paving the way for new developments in academic and research systems. However, the complexities and high costs associated with advanced equipment pose significant challenges for practitioners in this field. As a result, there is a pressing need to develop systems that are both cost-effective and capable of fulfilling educational and practical purposes. This paper presents a simple and economical robotic system designed to train and familiarize biomedical engineering professionals. The system features a parallel jaw gripper and an image-processing camera, which facilitates the precise and secure handling of medical syringes. Its modular design and use of low-cost components make it an ideal tool for education and research. This study offers a practical approach to understanding medical robotics, focusing specifically on the vital role of image processing in ensuring safe and accurate procedures. This system can serve as a valuable example for developing educational resources in biomedical engineering.

کلیدواژه ها:

Biomedical Engineering ، Robotics ، Image Processing ، Parallel Jaw Gripper ، LITE TensorFlow