e-ISSN: 2582-5208

International Research Journal of Modernization in Engineering Technology and Science

( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:07/Issue:06/June-2025 Impact Factor- 8.187 www.irjmets.com

REAL TIME IOT SECURITY ALERT AND MONITORING SOLUTION

K. Vishvakumar*1
*1Student, Department Of MCA, Dr. MGR Educational And Research Institute, Chennai, India.
DOI: https://www.doi.org/10.56726/IRJMETS79151
ABSTRACT
In an era of increasing security concerns, the integration of the Internet of Things (IoT) with Real-time
monitoring system has emerged as a powerful solution for enhancing safety and responsiveness. In this
research we present the design and implementation of an IoT-Based Security Monitoring and Alert System
aimed at providing continuous surveillance and immediate threat detection. The system employs smart sensors
and embedded devices—such as cameras, motion detectors, and microcontrollers (e.g., ESP32-CAM)—to
monitor environments in real time. Data from these devices is processed and transmitted via Wi-Fi to a central
web interface or mobile application, enabling remote observation and control.
Advanced features such as live video streaming, object or human detection are incorporated to improve
reliability and user experience. When abnormal activity is detected, the system generates instant alerts through
email, SMS, or app notifications, ensuring quick action. The modular and scalable architecture allows easy
deployment in homes, offices, or restricted zones, offering a cost-effective alternative to traditional surveillance
systems.
The research demonstrates how IoT and automation can significantly elevate the efficiency and intelligence of
security solutions, making them more responsive, interactive, and accessible.
Keywords: Iot Security, Smart Surveillance, Real-Time Monitoring, Intrusion Detection, Esp32-Cam, Motion
Sensor, Remote Alert System, Real-Time Notifications, Smart Home Security, Low-Power Devices, Remote
Access, Security Automation.
I. INTRODUCTION
In this technological era, assuring that homes, workplaces, and public areas are safe and secure has become
crucial in today's quickly changing world. Although they can be somewhat effective, traditional security
systems frequently lack intelligent response capabilities, remote accessibility, and real-time monitoring.
Modern security systems can now be improved to provide more intelligent, effective, and remotely accessible
solutions thanks to the growth of the Internet of Things(IoT).
The goal of this project, "Security Monitoring and Alert System Using IoT," is to create a strong and intelligent
security system that makes use of IoT technology to identify and react to possible security threats instantly. The
system combines internet-connected sensors, cameras, and microcontrollers to continuously monitor the
surroundings and promptly notify users through emails, mobile notifications, or alarms when questionable
activity is detected.
The primary objective of this system is to provide a low-cost, scalable, and easy-to-deploy solution that
enhances situational awareness and response time. By enabling real-time monitoring and remote control, this
IoT-based system empowers users to maintain security from anywhere, significantly improving overall safety
and peace of mind.
II. LITERATURE STUDY
The advancement of Internet of Things (IoT) technology has significantly influenced the design and
implementation of modern security systems. Various researchers and developers have explored IoT-based
monitoring and alert mechanisms to address challenges in traditional security infrastructures. In [8], Patel et al.
(2019) have demonstrated the use of IoT-enabled surveillance systems that utilize cameras and motion sensors
to monitor activities. These systems are connected to cloud platforms, enabling remote access and live video
feeds via smartphones or web interfaces. However, many of these systems lack real-time alert mechanisms and
intelligent analytics for threat detection. In [9], Sharma et al. have proposed a smart home security system that
utilizes an ESP8266 microcontroller and various sensors such as PIR, gas, and temperature sensors. The system
is designed to detect anomalies and send notifications to users via a mobile application. The authors have
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 e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:07/Issue:06/June-2025 Impact Factor- 8.187 www.irjmets.com
highlighted the benefits of IoT in enhancing remote monitoring, though they have also noted the challenges
related to internet dependency and the need for data encryption. In [10], Kumar et al. integrated artificial
intelligence (AI) techniques with IoT for enhanced security monitoring and the system has employed a
Raspberry Pi and camera module, using TensorFlow for real-time object detection and classification. The
approach reduces false alarms by distinguishing between humans, animals, and objects. However, the authors
highlighted challenges related to the limited computational power of edge devices, requiring optimization of AI
models for real-time performance. In [11], Ali et al. implemented a cloud-based IoT security system where data
from various sensors and cameras is uploaded to the cloud for analysis and storage. The system provides
scalability and remote access capabilities, but the authors emphasized the need for robust data encryption to
prevent cyber threats. Additionally, latency in cloud processing and internet dependency are noted as potential
drawbacks.
III. RESEARCH METHODOLOGY
The methodology outlines the systematic process adopted to detect an intruder, capture real-time evidence,
and alert the user through automated IoT components. The system consists of three major functions: detection,
monitoring, and alert communication.
3.1 System Design and Architecture
 Motion detector – PIR sensor used to detect object to send notification alert to central controller.
 Arduino Uno – Acts as the central controller. Based on the motion detection.
o Sends an alert command to the GSM SIM900A Module to notify the user via SMS.
o Activates the ESP32-CAM Module for live video streaming.
o Interfaces with the Audio Sensor for real-time sound capture.
 ESP32-CAM Module: Captures and streams live video to the Live Video Monitor over Wi-Fi.
 Audio Sensor (Microphone + Speaker): Enables two-way audio communication with the user.
 User Interaction: The user can listen and respond through audio, and view the camera feed in real-time.
ARCHITECTURE DIAGRAM

Figure 1: ARCHITECTURE DIAGRAM

3.2 Methodology
3.2.1 Motion Detection Using PIR Sensor:
The system begins with continuous surveillance using a PIR (Passive Infrared) sensor, which detects motion by
measuring infrared (heat) radiation from moving objects (typically human bodies). This sensor is highly
efficient for detecting intrusions within a fixed range (usually 5–7 meters). Once motion is detected, the sensor
outputs a HIGH signal to the Arduino UNO.

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 e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:07/Issue:06/June-2025 Impact Factor- 8.187 www.irjmets.com
3.2.2 Signal Processing via Arduino UNO
The Arduino UNO acts as the central controller of the system. It receives the motion detection signal from the
PIR sensor and initiates two main actions:
 It activates the ESP32-CAM module to begin capturing images or streaming video.
 It triggers the GSM module to begin preparing to send alerts.
This ensures both visual confirmation and alert generation occur simultaneously with minimal delay.
3.2.3 Image Capturing with ESP32-CAM
The ESP32-CAM module is equipped with a camera and Wi-Fi capabilities. Upon activation by the Arduino, it
begins:
 Capturing high-resolution images of the intruder.
 Streaming real-time video to a local or remote interface (if connected to Wi-Fi).
 Optionally, storing captured images locally on an SD card or transmitting them to a cloud storage system (if
internet-enabled).
3.2.4 Alert Communication via GSM Module
The GSM module (SIM800L or SIM900A) handles all forms of communication with the user. Upon instruction
from the Arduino, the module:
 Sends an SMS alert containing a predefined security breach message.
 Initiates a voice call to the user’s mobile phone.
 Enables a two-way voice communication channel between the user and the on-site speaker/microphone
unit.
3.2.5 Two-Way Audio Interaction
The speaker and microphone module provides the means for the user to interact with the intruder or
individuals at the site remotely. Through the GSM module:
 The user can speak through a mobile call, which is transmitted to the site via the speaker.
 The microphone captures on-site audio and transmits it back to the user.
3.2.6 Image Storage
Captured images are stored:
 Locally on an SD card (connected to ESP32-CAM).
 Or optionally uploaded to cloud storage for permanent logging and remote access.
IV. RESULTS AND DISCUSSION
4.1.1 ESP32 Cam module live streaming

Figure 4.1.1:

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 e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:07/Issue:06/June-2025 Impact Factor- 8.187 www.irjmets.com
4.1.2 PIR Sensor + GSM SIM900A (Motion Detection & Alert)
Module setup:

Figure 4.1.2:
Alert message and call output:

Figure 4.1.2
4.2.2 Speaker + Microphone (Two-Way Communication Module)
Module setup

Figure 4.2.2

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 e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:07/Issue:06/June-2025 Impact Factor- 8.187 www.irjmets.com
Output:

Figure 4.2.2
4.3 Interpretation of result:
4.3.1 Environmental Sensitivity
 PIR sensors effectively detect temperature variations, sunlight, and heat sources, enabling accurate motion
detection in diverse environments.
 The system can be fine-tuned to distinguish common household movements such as pets or curtains to
minimize false alerts.
4.3.2 Detection Range Optimization
 PIR sensors provide reliable detection within a range of 5–7 meters and a wide 120° cone angle, covering
key areas efficiently.
 Strategic placement and integration of multiple sensors can extend coverage to ensure comprehensive
intrusion detection.
4.3.3 Network Integration
 The ESP32-CAM leverages Wi-Fi connectivity to enable real-time video streaming, allowing remote
monitoring from anywhere with internet access.
 Network optimization and fallback mechanisms can improve data transmission reliability even under
varying coverage conditions.
4.3.4 GSM Communication Strength
 GSM modules facilitate prompt SMS and voice alerts by utilizing mobile networks, enhancing immediate
user notification.
 The system performs best in areas with strong network coverage, with options to integrate alternative
communication channels for remote locations.
4.3.5 Power Reliability
 Continuous power supply ensures uninterrupted system operation for consistent security monitoring.
 Incorporating UPS or battery backup solutions provides resilience against power outages, maintaining
system functionality at all times.

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 e-ISSN: 2582-5208
International Research Journal of Modernization in Engineering Technology and Science
( Peer-Reviewed, Open Access, Fully Refereed International Journal )
Volume:07/Issue:06/June-2025 Impact Factor- 8.187 www.irjmets.com
V. CONCLUSION
The implemented surveillance system successfully integrates motion detection, live video streaming, and
real-time communication to enhance home or premises security. Using the PIR sensor, the system effectively
detects motion events, while the ESP32-CAM provides real-time video footage to verify the threat. Upon
detection, the GSM SIM900A module immediately sends an alert via SMS and initiates a voice call, enabling
two-way communication between the homeowner and the potential intruder or security personnel.
This modular and cost-effective solution demonstrates how microcontrollers and IoT components can be
combined to build smart, real-time surveillance systems without relying heavily on internet infrastructure. It is
suitable for use in remote or under-connected areas and can serve as a prototype for larger, more scalable
security frameworks.
The use of an IoT-based security monitoring and alert system for sustainable cities and communities shows
major improvements in detecting threats quickly, responding fast, and managing safety better. The system
effectively integrates various sensors and communication technologies to provide continuous monitoring,
timely alerts, and remote access, contributing to enhanced security infrastructure.
VI. REFERENCES
[1] Below are relevant scholarly articles, datasets, and tools that Espressif Systems. (2020). ESP32-CAM
Development Board - Datasheet and Technical Reference Manual. Retrieved from
https://www.espressif.com/en/products/devkits/esp32-cam
[2] SIM Com Wireless Solutions. (2012). SIM900A Hardware Design and AT Command Manual. Retrieved
from https://simcom.ee/documents/SIM900/
[3] Random Nerd Tutorials. (2022). ESP32-CAM Video Streaming and Face Recognition with Arduino IDE.
Retrieved from
https://randomnerdtutorials.com/esp32-cam-video-streaming-face-recognition-arduino
[4] Bhoopathi, P. W., & Sood, A. K. (2019). IoT Based Smart Surveillance System using ESP32 and GSM
Module. Procedia Computer Science, 165, 902–909. https://doi.org/10.1016/j.procs.2020.01.065
[5] Dnyaneshwar, A., & Pawar, A. S. (2022). Real-Time Smart Home Surveillance System using IoT.
International Journal of Innovative Research in Computer and Communication Engineering, 10(4),
4012–4016. https://doi.org/10.15680/IJIRCCE.2022.1004001
[6] ResearchGate. (2023). Real-Time Threat Detection for Women using ESP32-CAM and GSM Module.
Retrieved from
https://www.researchgate.net/publication/389804584_Real-Time_Threat_Detection_for_Women
[7] Electronic Clinic. (2023). ESP32 with GSM SIM900A – IoT Security System Tutorial. Retrieved from
https://www.electroniclinic.com/esp32-with-gsm-sim900a-gsm-wifi-iot-gsm-esp32-and-gsm/
[8] D. Patel, S. Patel, and A. Patel, "IoT-Based Intrusion Detection and Alert System for Home Security,"
International Journal of Computer Applications, vol. 178, no. 7, pp. 25–29, 2019. International Journal
of Computer Applications (IJCA) website
[9] Sharma, R., & Gupta, P. (2020). Smart home security system using IoT. International Journal of
Advanced Research in Computer Science, 11(3), 45–5 . Just a moment...
[10] Kumar, V., Singh, R., & Sharma, M. (2021). AI-enabled sensing and decision-making for IoT systems.
Journal of Sensors, 2021, Article ID 6616279. https://doi.org/10.1155/2021/6616279
[11] Singh, N., Buyya, R., & Kim, H. (2024). Securing cloud-based Internet of Things: Challenges and
mitigations. arXiv preprint arXiv:2402.00356.arXiv+1MDPI+1

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