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@article{164269,
        author = {Meena Madhurya Sai and K Jyothirmai and J Akash and K Deepthi and Dr. Krishna Samalla},
        title = {Line Following Robot Using ESP 32 Cam},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {1234-1237},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164269},
        abstract = {This project presents the development of an intelligent linefollowing robot using the ESP32CAM module for real,time image processing and guidance. Thanks to machine learning algorithms, the robot will automatically follow the defined path and provide dynamic navigation services. Using computer vision, it can follow lines and adapt to changes in the environment, resulting in increased performance. The system integrates realtime image analysis to provide accurate guidance and suitability for various situations.The robot increases its overall performance by achieving high performance and communication by using the features of ESP32CAM. This application increases the level of control management by demonstrating the integration of artificial intelligence, computer vision and robotics into intelligent operation. The program is dedicated to academic research and the use of robotics to meet the needs of hobbyists and professionals. Its modular design allows for scalability and customization, helping to adapt to specific requirements.
Use of open source software and hardware increases usability and encourages collaboration in the robotics community. Through many trials and tests, the reliability and performance of the system has been proven in many places and situations. Future improvements will include additional sensor integration and algorithm optimization to further improve performance. Overall, this project demonstrates the potential of integrating these technologies to create versatile and adaptable robotic systems for real-world use.
},
        keywords = {arduino UNO, L293D driver, ESP32-cam, IR sensors, Li-ion batteries, DC motor driver},
        month = {},
        }