Surveillance Camera with GCM Technology
M. Rajesh Khanna

M.Rajesh Khanna, Vel tech Multitech Dr. RR Dr.SR Engineering College, Chennai, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 2909-2911 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7277068819/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper makes use of the dual functionality in the surveillance camera 1: video capturing, 2: capturing photos based on motion. The main aim of this project is to find the intruder as quick as possible. Using the application, the surveillance video camera is converted into object detector based on motion. Each object that it captures are taken as frames. During frequent motion, these frames will change continuously. Using Cauchy distribution algorithm, the initial frame is compared with the current frame. If any change is found then this algorithm immediately informs the server along with the photograph of the captured intruder, sends push notification via Google Cloud Messaging (GCM) and gets stored in the storage for future backups. The alert message is sent using Android toolkit. Only the authorized person can view that intruder’s image. This paper can be used in many fields as it provides efficiency and also quick alert.
Keyword: Cauchy Distribution Algorithm, GCM, Android toolkit.
Scope of the Article: Nano Technology.