Abstract

Abstract: The search and rescue operations for finding missing persons present significant challenges, including vast areas to cover, limited resources, and the need for timely and accurate identification. This research paper introduces a comprehensive solution that integrates Haar cascade, face recognition, and OpenCV (Open Source Computer Vision Library) to enhance the search and rescue process. By leveraging computer vision and artificial intelligence techniques, this approach aims to improve the efficiency and accuracy of locating missing individuals.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.