AI Based Targeting and Tracking System
This paper introduces an AI-driven tracking and targeting system poised to revolutionize precision across surveil- lance, defense, and tracking. Traditional systems often struggle with dynamic environments and accuracy optimization. Lever- aging AI, our system integrates advanced computer vision and deep neural networks for real-time object detection and tracking. Through machine learning, the system adapts to evolving scenarios, progressively enhancing tracking performance. Additionally, prevention of casualties with respect of loss of life, this model acts as a firewall from possible threats. This AI-based system signifies a significant advancement, promising heightened precision and efficiency across diverse applications. Its integration of cutting- edge technologies positions it at the forefront of tracking and targeting systems, marking a noteworthy contribution to the field.
Authors
- Megha Kolhekar (ORCID: https://orcid.org/0000-0002-9142-2959)
- Omkar Yadav
- Aroba Khan (ORCID: https://orcid.org/0000-0002-0070-9541)
- Pratik Mhatre
- Avantika Pardeshi
Publication Details
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1109/icccit62592.2025.10927798
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00