BrainGuard: Revolutionizing Early Detection of Brain Tumors with Advanced Deep Learning Technology

Authors

  • Dr. Jambi Ratna Raja Kumar, Prof. Bharati Kudale, Prof. Pallavi Patil, Prof. Sneha Farkade

Keywords:

GuardVision, surveillance system, object recognition, artificial intelligence, machine learning, real-time detection, threat identification, video analysis, security technology, operational efficiency.

Abstract

GuardVision is an innovative surveillance system designed to enhance security through advanced object recognition and comprehensive assessment capabilities. Utilizing state-of-the-art artificial intelligence and machine learning algorithms, GuardVision delivers real-time, accurate detection of objects and activities within monitored environments. The system's intelligent evaluation framework enables precise threat identification and response, significantly improving safety and operational efficiency. Key features include high-definition video analysis, adaptive learning for evolving security needs, and seamless integration with existing infrastructure. GuardVision represents a paradigm shift in surveillance technology, offering unparalleled reliability and performance for both public and private security applications.

 

Published

2020-07-23

How to Cite

Dr. Jambi Ratna Raja Kumar, Prof. Bharati Kudale, Prof. Pallavi Patil, Prof. Sneha Farkade. (2020). BrainGuard: Revolutionizing Early Detection of Brain Tumors with Advanced Deep Learning Technology. International Journal of New Media Studies: International Peer Reviewed Scholarly Indexed Journal, 7(2), 23–28. Retrieved from https://ijnms.com/index.php/ijnms/article/view/243