International Journal of Research in Engineering, Science and Management Volume-2, Issue-5, May-2019 www.ijresm.com | ISSN (Online): 2581-5792 476 Abstract: A security system with CCTV and other network nodes in IoT deals with large amount of data, so the need for devices with larger storage space comes into the picture which is a bit costlier. Traditional security systems are more power consuming as it has to record for 24x7 with more throughput but less efficient. Thus need human in middle to upload into cloud is needed. In this work, we propose a low-cost energy efficient smart security system for CCTV with other network nodes. Whenever motion is detected by passive infrared (PIR) sensor, at that time only the camera and all other security sensor nodes in network are activated (Switched on), the captured video and information (sensor data) are stamped on the image using image processing techniques on Python platform. It will be stored in a local storage device, after certain threshold (based on sensitivity of the location) data will be uploaded into the cloud along with data log created during processing stage by Python programming model. In this way, we can reduce the amount of data to be stored (as no recording when idle), consumed power (as device is switched off when idle), maintenance cost (as fully programmed). No need for human in middle for uploading data into the cloud (as program will upload data in to cloud). Because of time, date and information (data from sensor nodes) stamping on each frame of video using python programming model video access becomes easier, as data log will be created. Keywords: IoT; PIR sensor; Storing in cloud; information stamping; Motion Detection. 1. Introduction Internet of every Things is a network of connected “Things” like vehicles, buildings, embedded systems, sensors, as well as people. IoT enables these things to collect, store and exchange data of interest to complete various tasks like security of buildings (CCTV), traffic control and monitoring, patient health monitoring, environmental monitoring, system condition prognostics and prediction, smart grid, smart buildings, smart cities, and so on as discussed in [1]. Specifically, IoT devices allow physical objects to store data and exchange data without the intervention of humans (Machine to Machine communication takes place) across the existing network, cloud infrastructures and take intelligent decisions results in improving accuracy, and economic benefit. Intel has estimated that the number of connected devices across worldwide will rise from 20 billion in2017 to 200 billion by 2020. IoT has a variety of applications in security, health, consumer, and military applications [2]. Therefore, itis significant to effectively and efficiently store the data produced by the IoT devices (sensor nodes). So that IoT devices can be adopted drastically towards a connected future with making the products cheaper by utilizing less storage space which in turn decreases the cost of device by the method discussed in this paper for Security cameras. Due to increasing amount of data sources, advances in the Internet of Things and Big Data technologies and the availability of a wide range of machine learning algorithms offers new potential to deliver analytical services to citizens. However, there is still a gap in combining the current state of the art in an integrated framework that would help in reducing development, design costs and enable new kind of services [3]. In recent smart city applications there is a large scale deployment of cameras and other sensors around the globe these cameras act like an eye of a sensory network which includes smart transportation [4], lighting [5], health [6], environment [7], and disaster management [8]. Internet of Things architecture is a fundamental requirement in these applications, which prescribes a virtual platform for globally identifiable objects (each object having a unique IPv6 address) that have sensing and communication capability [9].Internet of Things architecture differs significantly from a traditional Wireless Sensor Network (WSN) because an IoT sensor can efficiently communicate to an IoT-cloud environment where the data can be acquired and transmitted virtually anywhere and processed in the cloud, which can be at any cognitive location. The IoT sensor networks use a different set of communication techniques like NB-IoT, LoRA, Sigfox etc., with message protocols like AMQP, COAP etc. Internet of Things treat each sensor as a “virtual object” with an abstracted hardware layer. While sensors can be deployed in the entire city, dedicated to a specific sensing task or a general sensing task, some of the sensing tasks can be outsourced to city residents by making them utilize their smart electronic gadgets. Even though both of these cases are treated as similar virtual objects in Internet of Things, we define a sensor as dedicated if it is used for Low Cost Energy Efficient Smart Security System with Information Stamping for IoT Networks M. S. Venkata Chandrashekar 1 , S. Bharath 2 , Suhas P. Shetty 3 , Suraj S. Kashyap 4 , B. Tahir Naquash 5 1,2,3,4 Student, Department of Computer Science Engineering, Alva's Inst. of Engg. and Tech., Moodbidri, India 5 Assistant Profesor, Dept. of Computer Science Engineering, Alva's Inst. of Engg. and Tech., Moodbidri, India