DeepLearning For Edge Computing For Indian Smart Cities-- Real Time Analytics On Low Power Devices

Abstract

“This paper explores the integration of deep learning algorithms with edge computing infrastructure to enable real-time analytics for Indian smart cities. The study emphasizes the deployment of low-power devices to efficiently process data locally, reducing latency and network bandwidth usage. Experimental results demonstrate improved performance in traffic monitoring, pollution analysis, and public safety applications. The proposed framework offers a scalable and cost-effective solution for smart city implementations in resource-constrained environments.”