• Amreen Saba
• Dr.Nagarathna

Internet of things can support Enormous applications and services in various sectors such as smart cities and smart homes. IOT smart objects and it’s components interact with other components Ex: proxies, mobile devices and data collectors along with various sensors for management, data sharing and other activities in the context of provided services. In recent years Raspberry Pi is being used enormously for the implementation of IOT applications. Here in particular we use Raspberry Pi to capture and compress images. Raspberry Pi board is mounted with PIR sensor which detects the movements around it, and a Pi camera which captures the image when movement is encountered the captured image is compressed on the raspberry pi using SVD compression methodology after which the compressed image is transmitted over the network to the desktop application where it is enhanced on the receiving end. The primary aim of this paper is to achieve image compression which reduces considerable image size in terms of bytes during transmission to reduce latency and bandwidth issues during transmission of the image over the network and simultaneously preserve the useful features of the image. Comparative Analysis is performed over Discrete Cosine Transform (DCT) image compression.

Image Compression, Raspberry Pi, Singular value decomposition (SVD), Discrete Cosine Transform (DCT), PIR sensor, Pi camera, transmission, enhancement.

"Comparative Analysis on DCT and SVD for Efficient Image Compression ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.445-450, June-2018, Available :http://www.jetir.org/papers/JETIR1806067.pdf

"Comparative Analysis on DCT and SVD for Efficient Image Compression ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp445-450, June-2018, Available at : http://www.jetir.org/papers/JETIR1806067.pdf