JNACSISSN:2582-3817

IoT Based Live Streaming and Object Detecting AI Robotic Car

Abstract

The integration of IoT and AI in robotics has revolutionized the capabilities of robotic systems. IoT enables seamless connectivity and communication between devices, allowing for real-time data transmission and control. AI, on the other hand, empowers robots with advanced perception and decision-making abilities. The combination of these technologies in a robotic car facilitates real-time monitoring, autonomous navigation, and intelligent object detection, making it a powerful tool for various applications. In today's world, mechanical autonomy and fake insights (AI) are progressively utilized over different segments, including mechanical, therapeutic, and military areas. The rapid advancement of technology has paved the way for innovative solutions in various fields, including robotics. One such innovative solution is the development of an IoT-based live streaming and object-detecting AI robotic car. This research paper aims to explore the design, implementation, and potential applications of this robotic car, highlighting its significance in the modern technological landscape. The IoT- based live spilling and object-detecting AI robotic car, is outlined to function in situations that are perilous or blocked off to people. By leveraging the ESP32-CAM microcontroller coordinates with TensorFlow.js for question discovery, this robot proficiently adjusts picture preparation and engine control Inside its restricted memory limitations.

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DOI :https://doi.org/10.46253/jnacs.v7i3.a3

Author information

Affiliations

Department of Computer Science and Engineering. City University, Bangladesh

Department of EEE Ahsanullah University Science and Technology

Department of EEE Islamic University of Technology

Institute of Information Technology Jahangirnagar University

Department of EEE Daffodil International University

Department of Mechanical Engineering Ahsanullah University Science and Technology

Publisher Information

  • Received

    16 July

  • Revised

    22 August

  • Accepted

    31 August

Keywords
IoT, Object Detection, AI, Robotic Car, Wireless Control, Surveillance.

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