S Sanjana
Papers
1
Total Citations
6
H-Index
1
About
S Sanjana is a researcher making impactful strides at the intersection of computer vision and public safety, with a primary focus on deep learning applications for hazard detection. Her most cited work, "Deep Learning Models for Fire Detection using Surveillance Cameras in Public Places" (2022, 6 citations), addresses a critical gap in automated safety systems. In this study, Sanjana tackles the urgent need for rapid, reliable fire identification in an increasingly automated world, where a single electrical fault can escalate into a devastating catastrophe. By leveraging convolutional neural networks on surveillance footage, her research demonstrates how AI can dramatically reduce response times, potentially saving lives and minimizing property damage. This contribution is particularly notable for its practical focus on real-world deployment in crowded public spaces. Sanjana’s work sits at the forefront of applying deep learning to emergency response, showcasing how intelligent systems can augment human monitoring. Her research not only advances technical methodologies in computer vision but also underscores the societal value of AI in creating safer urban environments. For students and researchers, Sanjana exemplifies how targeted, application-driven research can bridge the gap between cutting-edge algorithms and tangible, life-saving solutions.
Research Focus
Key Achievements
Top Papers
- 1