Improving the efficiency and security of passport control processes at airports by using the R-CNN object detection model
The use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and auto...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | Arabic |
| Published: |
College of Science for Women, University of Baghdad
2024-02-01
|
| Series: | Baghdad Science Journal |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/8546 |