Multi-Surveillance Robot for Real – Time Human Detection and Alert System
DOI:
https://doi.org/10.15662/IJEETR.2026.0802357Keywords:
Surveillance Robot, Human Detection, IoT, Machine Learning, Autonomous Navigation, Security System, Yolo Tracking, Sensor Tracking, Internet Of things, Realtime Monitoring, Security PurposeAbstract
Surveillance systems play a crucial role in ensuring safety and security in various environments such as industries, public areas, and residential zones. Traditional surveillance systems are mostly static and require continuous human monitoring, which can lead to inefficiencies and delayed responses.
This paper proposes a Multi-Surveillance Robot capable of real-time human detection and alert generation. The system uses a camera module integrated with a microcontroller and machine learning algorithms to identify human presence. Once detected, the robot sends alerts to the user through wireless communication.
The robot is capable of autonomous movement using motor drivers and sensors for navigation. The integration of IoT enables real-time monitoring and control. This system reduces human effort, enhances security, and provides a scalable solution for smart surveillance applications.
It use Yolo based based human tracking and Sensor like (gas ,Temperature) to detect the surface level on the places like border and emergencies areas such as fire buildings and damaged constructions
Thus it sent alert message to the controller and it can be operated by remote via use of Wifi connection via NodeMCU modules
We can control the robot by use of both automated and manual control .path analysis can be done by upload the path of the ground level like International borders to increase the surveillance and safety measure on the line of control
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