IOT Smart Door System with Motion Sensing and Facial Recognition
IOT Smart Door System with Motion Sensing and Facial Recognition
Ms.S.Bhavani
Assistant ProfessorDepartment of Electronics andCommunication Engineering
Annamacharya Institute ofTechnology and SciencesTirupati, India.
bhavanisangadala433@gmail.com
Nadimicherla Mahesh
UG StudentDepartment of Electronics andCommunication Engineering
Annamacharya Institute ofTechnology and SciencesTirupati, India.
msm1432657@gmail.com
Koneti Yashwitha Reddy
Dande Venkata Naga LikhitRoyal
UG StudentDepartment of Electronics andCommnication Engineering
Annamacharya Institute ofTechnology and Sciences
Tirupati, India.likhithroyaldande@gmail.com
Gundumani Pavan
UG StudentDepartment of Electronics andCommunication Engineering
Annamacharya Institute ofTechnology and Sciences
Tirupati, India.pavangundumani@gmail.comUG Student
Department of Electronics andCommunication Engineering
Annamacharya Institute ofTechnology and Sciences
Tirupati, India.yashwithareddy028@gmail.com
Abstract—The increasing demand for intelligent home security solutions has led to the adoption of Internet of Things (IoT) technologies in access control systems. Theproject proposes an IoT smart door system that integrates motion detection, facial recognition, and RFIDauthentication to enhance safety and automation. A PIR sensor is used to detect human movement near the door after which a camera module captures the facial image of the individual. Facial authentication is performed using cloud-based recognition techniques. In addition, an RFID module is incorporated as an alternative and supplementary authentication allowing authorized users to gain access through registered RFID tags or cards. Access is granted only when valid credentials are verified through either facial recognition or RFID authentication, while unauthorized attempts are restricted and instant alerts are generated. The system is implemented usi g an Arduino Uno, providing a cost effective, reliable, and scalable security solution for modern residential environments. Keywords— IoT, Smart Door System, PIR Motion Sensor, Arduino Uno, Facial Recognition, RFID Authentication, Cloud Service.