Abstract
The ESP32-powered anti-theft flooring system represents an innovative and cost-effective solution designed to enhance security across various settings, including homes, businesses, and diverse locations. At its core, the system comprises a network of strategically placed pressure sensors concealed beneath a flooring mat, seamlessly integrated with the ESP32 microcontroller featuring built-in Wi-Fi and a camera. When an object exceeding a predetermined weight threshold traverses the mat, the embedded sensors swiftly activate the ESP32, prompting it to capture a photograph of the event. This image is then promptly forwarded to a pre-configured email address, offering real-time visual insights into potential security breaches. Furthermore, the ESP32 can be programmatically configured to activate an audible alarm, providing an additional layer of security and acting as a powerful deterrent. The system’s design emphasizes user-friendliness, ease of installation, and adaptability to various environmental needs. Its customization options enable users to tailor the system to specific requirements, ensuring a seamless integration into any given space. Importantly, safety measures have been incorporated to prevent false alarms triggered by smaller entities, as the pressure sensors only respond to objects surpassing a predefined weight. Beyond its primary function of theft prevention, the ESP32 anti-theft flooring system unveils a realm of creative possibilities. Its applications extend to smart home automation, traffic monitoring, and even livestock tracking, showcasing the system’s versatility and adaptability in addressing diverse challenges. This multifaceted approach positions the ESP32 system not only as a robust security solution but also as a catalyst for innovation in various technological domains.
References
- Kumari, Sushma, Shashi Kant Singh, Akash Tyagi, Rupesh Kumar Sharma, and Ms Mona Devi. "IOT BASED ANTI-THEFT FLOORING MAT SYSTEM USING RASPBERRY PI." International Research Journal of Modernization in Engineering Technology and Science 5(2) 2023 . 1759 -1764
- Teja, P. Amith, A. Anne Frank Joe, and V. Kalist. "Home security system using raspberry PI with IOT." In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), pp. 450-453. IEEE, 2021.
- Dinakarasu, S., M. Baskar, C. Balaji, and M. Gawtham. "REAL TIME FACE DETECTING UNAUTHORIZED HUMAN MOVEMENT USING ESP 32 CAM MODULE." International Research Journal of Engineering and Technology (IRJET) 9(6) (2022). 981-985
- Nagamani, T., W. H. Beniga, K. S. Dhanish, and A. Sherine Benitta. "Anti-Theft Monitoring for a Smart Home." In 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 76-82. IEEE, 2022.
- Shah, Vaibhav, Sahil Shah, Jay Shah, and Prithvish Mamtora. "Anti-Theft Home Security System." International Journal of Electronics and Communication Engineering (IJECE) 2, no. IV (2013): 113-118.
- Alreshidi, Eissa Jaber. "Introducing fog computing (FC) technology to internet of things (IoT) cloud-based anti-theft vehicles solutions." International Journal of System Dynamics Applications (IJSDA) 11, no. 3 (2022): 1-21.
- Muhammad, Nauval, Endro Ariyanto, and Yogi Anggun Saloko Yudo. "IMPROVED FACE DETECTION ACCURACY USING HAAR CASCADE CLASSIFIER METHOD AND ESP32-CAM FOR IOT-BASED HOME DOOR SECURITY." JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 8, no. 1 (2023): 154-161.
- Sirisha, U., D. PoojaSri, N. Gayathri, K. Heshma, and G. Raja Sekhar. "IOT BASED ANTI THEFT DETECTION AND ALERTING SYSTEM USING RASPBERRY PI." International Research Journal of Engineering and Technology (IRJET) 7, no. 03 (2020). 1650 -1655
- Tressler, James F., Sedat Alkoy, and Robert E. Newnham. "Piezoelectric sensors and sensor materials." Journal of electroceramics 2 (1998): 257-272.
- Binti Ramli, Rusyaizila, Nur Dini Afrina binti Nazri, Omar Ismael Al-Sanjary, and Nabilah Rozzani. "The Development of Weight Detection System using IOT Flooring." In 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), pp. 250-255. IEEE, 2021.
- Pandya, Sharnil, Hemant Ghayvat, Ketan Kotecha, Mohammed Awais, Saeed Akbarzadeh, Prosanta Gope, Subhas Chandra Mukhopadhyay, and Wei Chen. "Smart home anti-theft system: a novel approach for near real-time monitoring and smart home security for wellness protocol." Applied System Innovation 1, no. 4 (2018): 42. 1-22
- Rai, Pertab, and Murk Rehman. "ESP32 based smart surveillance system." In 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), pp. 1-3. IEEE, 2019.
- Maier, Alexander, Andrew Sharp, and Yuriy Vagapov. "Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things." In 2017 Internet Technologies and Applications (ITA), pp. 143-148. IEEE, 2017.
- Fazil, P. Mohammed, N. Prasad, B. Ranjitha, and Sneha S. Nair. "Anti Theft Security System with Image Feedback using Raspberry PI and IoT." i-Manager's Journal on Electronics Engineering 10, no. 3 (2020): 8-17.