research/engagement/interest (500 characters)
The growing number of vehicles in India presents significant challenges for traffic management, road safety, and urban planning. This research aims to develop a robust vehicle detection system tailored to the unique conditions of Indian roads, addressing the diverse range of vehicle types, traffic congestion, and variable environmental factors.
The following are the objectives:
1. To design and implement an advanced vehicle detection system using computer vision techniques.
2. To create a comprehensive dataset representing the diverse vehicle landscape and traffic scenarios in India.
3. To evaluate the performance of various machine learning models for real-time vehicle detection in Indian traffic conditions.
Expected Outcomes:
1. A validated vehicle detection system capable of identifying various vehicle types in real time.
2. A rich dataset that can be used for future research in vehicle detection and traffic management.
3. Recommendations for integrating vehicle detection into smart city initiatives and traffic management systems.
Joining this CIRCLE research group gives exposure to diverse perspectives and methodologies, enriching my understanding to contribute more effectively to my research field of computer vision. My passion for exploring the intersections of deep learning, image analysis, and vision aligns with CIRCLE's mission to address global challenges through innovative research. Working within CIRCLE’s dynamic and supportive community would empower me to achieve new heights in my research endeavors, facilitating a deeper engagement with my areas of interest and allowing me to make a tangible impact in the pursuit of social justice and equality on an international scale. This opportunity represents not just a milestone in my academic career, but a gateway to my research extension also.