Role of Compressed Sensing Based Image Sensor for Smart Surveillance Applications

Abstract

Internet of Things (IoT) is the interconnection of physical objects through internet for improving quality of life and involves potential applications such as healthcare, smart cities, manufacturing and automation etc. Compressive sensing is an emerging technique that can be adopted in the design of IoT platforms as it reduces the raw data transmission and achieve traffic load balancing throughout networks. Video surveillance is one such significant applications of IoT and it deals with huge amount of data. Compressed Sensing concept can be used to reduce the amount of data being transmitted in the wireless link. The main contribution of the paper is to design and implement an efficient IoT enabled compressed sensing-based imaging system video surveillance applications. The performance of the proposed work will be evaluated in terms of reduction in samples, reconstruction quality and energy.