ISSN: 2265-6294

DEEP CNN FRAMEWORK FOR OBJECT DETECTION AND CLASSIFICATION SYSTEM FROM REALTIME VIDEOS

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Janakiraman, Kothibalija Sowmya, B Sandeep, Vennapusa Vishnuvardhan Reddy

Abstract

Accurately counting and classifying vehicles in real-time has become essential for effective traffic management, surveillance, and transportation systems. This capability is crucial for optimizing road infrastructure, enhancing safety measures, and making informed decisions for traffic planning. With increasing traffic congestion and road safety concerns, there is a growing demand for robust, automated vehicle counting and classification systems.

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