IoT-Integrated Door Sensor Solution for Enhancing Smart Home Security
Although the field of IoT-powered home security systems has seen some great strides, there are still quite a few gray areas. As of now available solutions mainly rely on elementary motion detection and simple biometric systems, which usually fail to properly differentiate between everyday activities and real threats (leading to numerous false alarms) as well security is often at risk. Furthermore, most current systems do not have powerful recognition algorithms and can only recognize specific persons under very stable circumstances. The installation of a variety of sensors can improve detection, but the problem arises when compatibility issues across multiple chips and signals from interfering with each other make them unreliable. In addition, visual verification requiring cameras (camera technology) are present in the space but these systems do not deploy number of advanced image processing techniques thus failing to improve threat detection/categorization capabilities. This type of comprehensive and coherent security solution can only be built upon multimodal sensing, but the state-of-the-art in sensor data fusion research is woefully inadequate to support effective situational awareness due to a lack of scalable cross-sensor data synthesis methods. Filling these gaps will have important implications for future smart home security, making systems more reliable and trustworthy.
Authors
- Pradnya Sulas Borkar (ORCID: https://orcid.org/0000-0002-1574-3435)
- Sagarkumar S. Badhiye (ORCID: https://orcid.org/0000-0002-0710-3761)
- Snehal Shinde (ORCID: https://orcid.org/0009-0006-7919-9674)
- Ishwari P. Kakade
- Renuka S Wadetwar
- Kritika Nimje
Institutions
- Symbiosis International University (IN)
- Indian Institute of Information Technology, Nagpur (IN)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/ictacs62700.2024.10840511
- Citations
- 1
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.21