Paper Key : IRJ************235
Author: Prashant Nivrutirao Malse
Date Published: 12 Apr 2024
Abstract
The Traffic Signboard and Ambulance Detection System is a Convolutional Neural Network (CNN)-based solution designed to enhance road safety and emergency response. The system optimizes real-time processing, adapts to diverse environmental conditions, and balances accuracy with efficiency. It addresses challenges like computational intensity, false positives and negatives, and model deployment on resource-constrained devices. Seamless integration with existing systems and privacy-preserving measures are key considerations. The goal is to create a robust, ethically sound system capable of accurately detecting traffic signs and prioritizing ambulance recognition for improved overall safety and emergency response.
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