Anushri Kulkarni,
Raj Shaikh,
Suraj Shinde,
Yashraj Deshpande,
- Student, Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India
- Student, Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India
- Student, Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India
- Assistant Professor, Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India
Abstract
This paper shows the Surveillance Car system which leverages the ESP32 Cam module and incorporates advanced image processing through a Generative Adversarial Network (GAN) model to redefine the landscape of mobile surveillance systems. The ESP32 Cam serves as the core hardware platform, offering compact design and wireless capabilities for real-time image capture and remote monitoring. The system’s innovation lies in the integration of a GAN model for image processing, enhancing the system’s ability to intelligently analyze captured data. This combination of cutting-edge hardware and artificial intelligence aims to provide a sophisticated, context-aware surveillance solution. The GAN model enables the identification of anomalies and specific objects within surveillance frames, enhancing adaptability to dynamic environments. With potential applications in security, law enforcement, and smart city initiatives, this paper underscores the synergy between ESP32 Cam and GAN-based image processing to create an intelligent and adaptable surveillance system for contemporary needs.
Keywords: Surveillance, ESP32 CAM, GAN Model, Smart Phone, Camera, Motor Driver
[This article belongs to Journal of VLSI Design Tools and Technology(jovdtt)]
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Journal of VLSI Design Tools and Technology
| Volume | 14 |
| Issue | 02 |
| Received | July 18, 2024 |
| Accepted | July 25, 2024 |
| Published | August 7, 2024 |