Survey of Best Home Intruder Detection by Face Recognition and Touch Sensor

Main Article Content

Abinaya Shri, SP Chokkalingam


With the expanding use of the Internet of Things (IoT) gadgets in home robotization, the possibility for home security has gotten much more indispensable. While there have been numerous outstanding improvements in the field of savvy home security frameworks for as far back as decade, the prospects to create and utilize a large number of highlights for an IoT based security framework continue to develop. Our proposed configuration presents a modest IoT based home security framework that empowers the client to have full oversight over the framework distantly just as get live video criticism over the web by utilizing our hand crafted android application. The android application uses an ongoing data set (Firebase) for deciphering the sensor information. The android application additionally gives different highlights, for example, – secret phrase the board, initiation or deactivation of the framework and ready alternative. The security framework consolidates a movement sensor, contact sensor and a camera module for gatecrasher discovery and leading the facial acknowledgment and if interloper can't perceive cautions the client right away through an online ready notice. For proof purposes, depictions of the interloper can be taken during live video checking from the android application. Furthermore, a GSM module is utilized to send a SMS alert about the interloper over the cell network. We endure a few creators works and grew exceptionally modest model. We improved effectiveness of throughput and limited expense moreover.

Article Details

How to Cite
Abinaya Shri, SP Chokkalingam. (2021). Survey of Best Home Intruder Detection by Face Recognition and Touch Sensor. Annals of the Romanian Society for Cell Biology, 2688–2699. Retrieved from