A smart building security system with intelligent face detection and recognition

• Published in: IOP conference series. Materials Science and Engineering Vol. 1176; no. 1; pp. 12030 - 12039
• Main Authors: Khairuddin, M H, Shahbudin, S, Kassim, M
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2021
• Subjects: Artificial intelligence; Cloud computing; Face recognition; Image quality; Object recognition; Security management; Security systems; Surveillance
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/1176/1/012030

Abstract The security system is the most important application that protects several threats from inside and outside of an organization. The purposes of several security building applications such as the system will know criminals, disgruntled former employees enter the workplace, and enabling building security to work proactively for ensuring that associates and customers are safe from harm. By implementing face detection and recognition of the security system, video surveillance in the building can be improved by upgrading the system of video surveillance with artificial intelligence. The aim of the research is to develop the face detection and recognition in the security system in the building with recognizing human faces and image capture to the cloud storage. The result shows that the video will stream and recognize human faces whether the person is authorized or unauthorized in the system image using Raspberry Pi 3. For analysis purpose, the image captured and stored from the two type of cloud storage namely Cloudinary and Dropbox had been analyzed. Based on the analysis, the image captured and stored into Dropbox cloud storage give the best performance features which gained more 75% of quality images.