Comprehensive Home Security for Elderly People using IoT and Artificial Intelligence
- Resource Type
- Conference
- Authors
- Suresh, Arshith; Subeer, Aina P; Philip, Ann Mary; Varughese, Jini Shaji; Mathew, Justin
- Source
- 2020 IEEE International Conference for Innovation in Technology (INOCON) Innovation in Technology (INOCON), 2020 IEEE International Conference for. :1-4 Nov, 2020
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Sensors
Security
Monitoring
Senior citizens
Face recognition
Motion detection
Mobile applications
Home Security and Automation
Machine Learning
HAAR Cascade Classifier
Motion Detection with PIR
Security for Elderly People
Flutter Mobile App
Raspberry Pi Home security
- Language
Keeping check on home while providing security measure to owner of an house and have complete control of what is happening in and around the house is of great importance in this era. Along with this proving features to monitor and provide security for elderly people is an added advantage. This paper includes all the mentioned features. The paper features a system having a frontal face recognition feature at door step that assists in monitoring who and when someone has visited the house with alerts being sent if an unknown person is found to be at the door step. Algorithms that are fast and accurate are used for this purpose. This paper also introduces a feature that enables the user(owner) to control the entry of vehicles by adding a RFID based authorization of vehicles and allowing the user to add and delete authorized vehicles. The system also presents a motion detection sensing device that is efficient and accurate by using Passive Infrared Radiation Sensor and assisted by a machine learning algorithm to detect if a person has entered the house premises during security hours. The whole system is controlled and monitored via a mobile app that features facilities to get Alerts, monitor activities and other function mentioned in this paper. The system thus provides automation with security focused to elderly people residing in the house