IOT Based Face Recognition and Surveillance System Using Smart Phones

Due to the growing concern of intrusion and security threats, various measures have been implemented to safeguard valuable assets, data, and information. Among these measures, the Internet of Things (IoT) has emerged as a key technology in improving efficiency across multiple domains. This study aims to develop a mobile application with an autonomous system that can not only record footage from security cameras but also provide real-time alerts when someone enters a protected area. These alerts will be communicated via mobile notifications that will be prompt and easy to understand, allowing the owner to take necessary actions. The IoT technology will be used as a communication method between the system and the application, enabling seamless transfer of information over the internet. The system consists of two key elements: a mobile application developed in Java and face recognition software developed in Python using the OpenCV package and Haarcascade-frontalface-default model to identify faces in images and videos captured by the security cameras. The main contribution of this research is to minimize the need for extensive computations and comparisons while accurately identifying individuals through facial recognition.