Katha Naik
Computer science
Hometown: Mumbai, Maharashtra, India
Graduation date: Spring 2026
Additional details: Honors student
FURI | Spring 2025
Enhancing Low-light Traffic Monitoring at Intersections Using Event-based Vision Systems
Traditional traffic monitoring systems using frame-based cameras that struggle in low-light and high-contrast environments (e.g., nighttime or glare from headlights). These limitations result in motion blur, missed objects, and delayed detection, which is particularly dangerous at intersections where vehicle and pedestrian interaction is complex. This project explores the use of event-based cameras to build a dataset across different lighting conditions and develop real-time detection and tracking models such as Recurrent Vision Transformers (RVTs) to better handle the asynchronous, high-temporal data captured by these cameras. By improving detection accuracy and reducing latency, the system has potential applications in smart city infrastructure, supporting safer and more efficient urban mobility.
Mentor: Bharatesh Chakravarthi
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.