Advance Smart Cam PIR Surveillance

In today's technological world, security is a big concern in places like homes, warehouses, and restricted areas where quick actions are required to stop unwanted access. Many current systems do not alert quickly enough or cannot identify exactly what kind of threat is present. To overcome this problem, we created the Advance Smart Cam PIR Surveillance system, which combines motion detection, real-time audio alerts, and smart object recognition to improve security in various fields. This system includes a motion sensor (PIR) that detects movement and sends an immediate alert to the user's smartphone through a SIM800L GSM module. At the same time, the microphone captures sounds, and the ESP32-CAM records video while identifying objects in view. The system can also differentiate between humans and animals. Video frames are processed using OpenCV, while Cvlib's AI model identifies and classifies objects, helping to differentiate between humans and animals. To increase processing speed, we are using multiprocessing, which allows the system to utilize multiple CPU cores simultaneously. The development and testing were performed in PyCharm, as this setup provides fast and reliable alerts to support security in different environments.

Authors

Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/icoei65986.2025.11013426
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Advance Smart Cam PIR Surveillance

Y.D. Kolekar, Kiran Ingale, Tushar Jadhav, Abhilasha Jadhav et al.
IoT and GPS-based Vehicle Safety Systems
article

Advance Smart Cam PIR Surveillance

Y.D. Kolekar, Kiran Ingale, Tushar Jadhav, Abhilasha Jadhav, Swamini Kanse
article en

Abstract

In today's technological world, security is a big concern in places like homes, warehouses, and restricted areas where quick actions are required to stop unwanted access. Many current systems do not alert quickly enough or cannot identify exactly what kind of threat is present. To overcome this problem, we created the Advance Smart Cam PIR Surveillance system, which combines motion detection, real-time audio alerts, and smart object recognition to improve security in various fields. This system includes a motion sensor (PIR) that detects movement and sends an immediate alert to the user's smartphone through a SIM800L GSM module. At the same time, the microphone captures sounds, and the ESP32-CAM records video while identifying objects in view. The system can also differentiate between humans and animals. Video frames are processed using OpenCV, while Cvlib's AI model identifies and classifies objects, helping to differentiate between humans and animals. To increase processing speed, we are using multiprocessing, which allows the system to utilize multiple CPU cores simultaneously. The development and testing were performed in PyCharm, as this setup provides fast and reliable alerts to support security in different environments.

Affordable and clean energy
Openalex Percentile: Top 88%
IoT and GPS-based Vehicle Safety Systems
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Advance Smart Cam PIR Surveillance — Y.D. Kolekar, Kiran Ingale, et al. · (2025) | TGRS Research Map | TGRS