# An IoT based Active Building Surveillance System using Raspberry Pi and NodeMCU

**Authors:** Sruthy. S, S. Yamuna, Sudhish N. George  
**arXiv:** [2001.11340](https://arxiv.org/abs/2001.11340)  
**Date:** 2020-01-27  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2001.11340v1/

## Key points

- The Internet of Things (IoT) has revolutionized the way we live by offering automation and intelligent services.
- IoT is applied in security surveillance systems.
- Raspberry Pi Single Board Computer (SBC) and NodeMCU (WiFi/IoT module) are used to enhance building surveillance.
- The system consists of wireless sensor nodes and a controller section.
- Advanced features include intrusion detection with face recognition, fire detection, remote user alerts, live video streaming, and portability.
- Face recognition technology improves the efficiency of intrusion detection by identifying known and unknown individuals in restricted areas.
- Wireless sensor nodes process events detected by various sensors and send status to the controller section via WiFi module.
- The controller activates the camera upon receiving an event notification and alerts the user through email, phone call, and SMS for prompt response to potential threats.
- Compactness, cost-effectiveness, ease of use due to WiFi modules are major advantages of this system.
- Users can access surveillance from anywhere in the world and respond accordingly based on real-time situations.

## Summary

The Internet of Things (IoT) has revolutionized the way we live by offering automation and intelligent services. One significant application of IoT is in security surveillance systems. This paper presents an innovative approach using Raspberry Pi Single Board Computer (SBC) and NodeMCU (WiFi/IoT module) to enhance building surveillance. The system consists of wireless sensor nodes and a controller section that offers advanced features such as intrusion detection with face recognition, fire detection, remote user alerts, live video streaming, and portability. The use of face recognition technology significantly improves the efficiency of intrusion detection by identifying known and unknown individuals in restricted areas. The wireless sensor nodes process events detected by various sensors and send the status to the controller section via the WiFi module. Upon receiving an event notification, the controller activates the camera to capture the event and alerts the user through email, phone call, and Short Message Service (SMS), ensuring prompt response to potential threats. One major advantage of this system is its compactness, cost-effectiveness, and ease of use due to the utilization of WiFi modules. Moreover, users can access surveillance from anywhere in the world and respond accordingly based on real-time situations. In conclusion, this IoT-based security surveillance system utilizing Raspberry Pi SBC and NodeMCU offers a comprehensive solution for building monitoring. With its advanced features such as face recognition intrusion detection and remote user alerts, it provides enhanced security measures while remaining accessible and user-friendly.