Remote Control Home Security Monitoring
Keywords:
PIR motion sensor, GSM module, Buzzer, LED, V360Pro cameraAbstract
This research paper details the development and implementation of a Remote-Control Home Security Monitoring system designed to directly notify homeowners and detect living creatures entering their property. The primary objective is to provide timely information about intrusions, including capturing photographic or video evidence of the living entity, and offering the capability to deter entry using a camera-integrated speaker when necessary. This system aims to enhance home security by allowing remote monitoring of potential intrusions, providing peace of mind to homeowners when they are away. The core functionality of the system involves detecting living being movement using motion sensors and security cameras, ensuring real-time home surveillance. Upon detection, the system instantly alerts the homeowner via SMS messages and automated voice calls. Furthermore, it captures and stores video recordings of the detected living being for evidence and future review. The Remote-Control Home Security Monitoring system comprises several interconnected components: a Passive Infrared (PIR) sensor for motion detection, an Arduino Uno microcontroller for processing sensor data and controlling other devices, a buzzer and LED for local alerts, a GSM module for remote communication via SMS and calls, a V360Pro camera for video recording and potential remote interaction, jumper wires for electrical connections, glue for securing wiring, a power adapter, a smartphone or tablet for user interface, a laptop for Arduino code development, and necessary power cables. Testing results indicated successful initialization of all system components (Arduino Uno, GSM module, V360Pro camera, and PIR sensor) and establishment of internet connectivity for the camera. The GSM module successfully registered on the network and sent SMS messages. The PIR motion sensor accurately detected motion events with 100% accuracy in controlled testing, triggering the local alerts and the remote notification system. The V360Pro camera's live stream was accessible via the mobile application. The Remote-Control Home Security Monitoring system effectively integrates various hardware and software components to provide a comprehensive home security solution. It offers real-time detection of living creatures, immediate alerts to homeowners via multiple channels, and visual evidence through video recording. This technology holds significant potential for enhancing residential security and providing homeowners with increased control and reassurance regarding the safety of their property. The paper also suggests future research should focus on differentiating between anomalous and normal detections to further refine the system's intelligence and effectiveness in identifying unauthorized individuals. This research contributes to the advancement of smart home security systems and offers valuable insights for those seeking to implement such technologies for safeguarding their homes.
References
Amuta, E. O., Sobola, G. O., Eseabasi, O., Dike, H. N., Matthew, S., Agbetuyi, A. F., & Wara, S. T. (2024). Motion Detection System Using Passive Infrared Technology. IOP Conference Series: Earth and Environmental Science, 1342(1). https://doi.org/10.1088/1755-1315/1342/1/012001
Hatem, H. R. (2017). ARDUINO Microcontroller Based Building Security System. 35(5).
Hussain, G. K. J. (2024). Artificial Intelligence-Based Smart Guard For Home Automation. 1–8.
Kencl, L. (1982). Global System for Mobile Communication ( GSM ) Definition 1 . Introduction : The Evolution of Mobile Telephone Systems. 1–19.
Manisha Yadav, A., Priyanka Prem, S., & Bhutada, S. (2019). SMART AI SECURITY GUARD. www.jetir.org
Pawar, Y., Chopde, A., & Nandre, M. (2018). Motion Detection Using PIR Sensor. 4–7.
Schwartz, M. (2014). Arduino home automation projects : automate your home using the powerful Arduino platform.
Patel, P., & Thakkar, A. (2019). Recent Advancement in Anomaly Detection in Surveillance Videos. In International Journal of Recent Technology and Engineering (Vol. 8). https://doi.org/10.13140/RG.2.2.17927.06563
Report, P., Of, P., & Document, T. H. E. (n.d.). Of BULB HOLDER.
Requirements, G. (2004). ISSUE : OCT 2004 GSM Subscriber Identity Module ( SIM ) Card.
Schneider, P., & Xhafa, F. (2022). Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring. In Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring. https://doi.org/10.1016/B978-0-12-823818-9.00002-X
SIM800 dev kit.pdf ok.pdf. (n.d.).
Smith, P. A., & Dawber, J. (2021). Outlier and Anomaly Detection Methods with Applications to the 2021 Census.
Static Rapid. (n.d.). Lesson 2: Tutorial Of The Buzzer Key Points. https://static.rapidonline.com/pdf/75-0166tut2.pdf
Usman, M., Muthukkumarasaour, V., Wu, X. W., & Khanum, S. (2018). Mobile agent-based anomaly detection and verification system for smart home sensor networks. In Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. https://doi.org/10.1007/978-981-10-7467-7
Patel, P., & Thakkar, A. (2019). Recent Advances in Anomaly Detection in Surveillance Videos. In International Journal of Recent Technology and Engineering (Vol. 8). https://doi.org/10.13140/RG.2.2.17927.06563
Report, P., Of, P., & Document, T. H. E. (n.d.). Of BULB HOLDER.
Requirements, G. (2004). ISSUE : OCT 2004 GSM Subscriber Identity Module ( SIM ) Card.
Schneider, P., & Xhafa, F. (2022). Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring. In Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring. https://doi.org/10.1016/B978-0-12-823818-9.00002-X
SIM800 dev kit.pdf ok.pdf. (n.d.).
Smith, P. A., & Dawber, J. (2021). Outlier and Anomaly Detection Methods with Applications to the 2021 Census.
Static Rapid. (n.d.). Lesson 2: Tutorial Of the Buzzer Key Points. https://static.rapidonline.com/pdf/75-0166tut2.pdf
Usman, M., Muthukumar’s our, V., Wu, X. W., & Khanum, S. (2018). Mobile agent-based anomaly detection and verification system for smart home sensor networks. In Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks. https://doi.org/10.1007/978-981-10-7467-7
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