Secure Your Entry Ways: Using Cloud Based Door Access System
Abstract - In this paper, we emphasize the protection of entry points through a cloud-based door access system based on our earlier conceptual design to provide a fully developed prototype. Meeting today's security demands, the system takes advantage of IoT technology for effective visitor tracking and access control in residential and commercial buildings. The model deployed employs a Raspberry Pi as the processing unit, coupled with a Pi camera that takes real-time photographs of visitors when the doorbell is pressed. The photographs are sent in real-time to a Dropbox cloud server, where they are stored securely encrypted, providing tamper-proof digital records for future authentication [3]. The system increases post-conflict security by being able to keep log records of current activities, which can be presented electronically in times of conflict or incidents. Managed through a mobile app, authorized personnel are able to control visitor access remotely, receiving real-time alerts and images to make the decision whether to grant entry. This ensures safe and verified access control. Cloud integration offers scalability and remote management across numerous properties through a single platform [2]. The deployed prototype, which was put to the test in a simulated setting, boasts high reliability, with 97% accuracy in fingerprint authentication and a response time of 2 seconds. This "Secure Your Entry Ways: Using Cloud-Based Door Access System" integrates IoT technology, mobile app control, and safe cloud storage to present a dependable, effective solution for contemporary security requirements, real-time monitoring, safe record-keeping, and distant management, improved user convenience and security. Key Words: IOT, Door Lock, Cloud Computing Security, Biometric Authentication, Fingerprint Sensor, Raspberry Pi.
Authors
- Miss. Jayshree Rajendra Sanap
Publication Details
- Journal
- International Scientific Journal of Engineering and Management
- Published
- 2025-05-05
- DOI
- https://doi.org/10.55041/isjem03372
- Primary Topic
- Smart Parking Systems Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00