Hospitals depend on patient status information to deliver timely care and treatment. The possibility of utilising automated algorithms to detect clinical operations was previously established through work on enhancing the information flow from emergency medical services (EMS) to hospitals. Prior research, however, has not utilised video sources that could be accessible during patient care effectively. The effectiveness of using convolutional neural networks (CNNs) on raw video footage to detect clinical procedures is examined in this research. We tackle this issue using a variety of deep learning models, with a wide range of outcomes. Our findings point to performance gains over earlier research, but they also point to the need for more training data to achieve levels of effectiveness that may be used in clinical settings. final year project is based on IEEE Paper.this will be one of the best Final year engineering project for computer science. Components that we will provide are.
1.complete documentation support
2.complete working hardware/software implemented in students environment 3.classes will held accordingly.