Author
Listed:
- Kaushika Patel
- Meghsinh Gadaria
- Krisha Kansagra
Abstract
Security solutions that can be operated remotely and autonomously have become more and more necessary as surveillance technology has advanced so quickly. Although they work well for static monitoring, traditional CCTV systems are not mobile, flexible, or able to intervene in real time as needed in dynamic environments. In order to overcome these constraints, the "Surveillance Robo Car Using ESP32 CAM Module" project combines a robotic car with an ESP32 CAM module that can transmit live video over Wi-Fi. Through a web-based interface, this system allows for remote monitoring, providing an economical and effective solution for military reconnaissance, industrial monitoring, security surveillance, and search and rescue missions. With support for Bluetooth and Wi-Fi, the ESP32 CAM module offers a small and effective video streaming solution. It also offers the possibility of AI-based applications like facial recognition and motion detection. Through remote control via a web interface, the robotic platform's real-time maneuverability ensures flexibility in a range of surveillance scenarios. To ensure smooth operation, the system architecture consists of a microcontroller, motor drivers, power management units, and wireless connectivity modules. Notwithstanding its benefits, issues like power consumption, network latency, and environmental restrictions still exist. Cloud-based data storage, AI-driven threat detection, and 5G integration to boost speed and dependability are possible future improvements. This project adds to the expanding trend of autonomous security solutions thanks to recent developments in IoT and smart surveillance, opening the door for more intelligent and responsive monitoring systems.
Suggested Citation
Kaushika Patel & Meghsinh Gadaria & Krisha Kansagra, 2025.
"Surveillance Robo Car Using ESP32 CAM Module,"
International Journal of Scientific Research in Science, Engineering and Technology, Technoscience Academy, vol. 12(2), pages 559-571, April.
Handle:
RePEc:ijs:ijsrse:v12:y2025:i2:id:403
DOI: 10.32628/IJSRSET25122176
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijs:ijsrse:v12:y2025:i2:id:403. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.