Robotics has advanced significantly with the integration of electro-mechanical systems, embedded controllers, and wireless communication technologies. This work presents the design and development of an accelerometer-based spy robot utilizing an ATmega328 microcontroller. The system incorporates a radio- frequency (RF) transmitter–receiver module through which the robot’s motion is remotely controlled using intuitive hand-gesture inputs captured by the accelerometer. The RF link ensures reliable communication between the handheld controller and the mobile robotic platform. Additionally, the robot is equipped with an RF- based wireless camera whose video feed can be accessed on a mobile device via Wi-Fi connectivity, enabling remote surveillance and real-time monitoring. The proposed system demonstrates the potential of integrating gesture control and wireless video transmission for applications in security, remote inspection, and smart automation.

The Gesture-Synchronized Autonomous Robot for Remote Reconnaissance Missions successfully demonstrates an efficient and intuitive method for controlling mobile robotic platforms using hand- gesture inputs transmitted over a low-power RF communication link. The integration of accelerometer-based gesture acquisition, ASK- modulated signal transmission, and a super- heterodyne receiver architecture ensures reliable, low-latency, and noise-resilient command interpretation. Experimental results validate the system’s capability to achieve high gesture- recognition accuracy, stable communication, and precise motion control within the tested operational range. Overall, the prototype provides a cost- effective and operator-friendly solution for conducting remote surveillance and reconnaissance in hazardous or inaccessible environments. The outcomes of this work confirm its utility for security, defence, and industrial inspection applications, while highlighting its potential as a scalable platform for advanced robotic research.

[1]R. Dogra, S. Sharma, and A. Kaur, “Military Surveillance and Deployment Robot,” International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 6, pp. 1–5, 2014. [2]P. S. Sawarkar, S. P. Bute, and P. B. Narnaware, “HMD Vision-based Teleoperating UGV and UAV for Hostile Environment using Deep Learning,” arXiv preprint arXiv:1604.00922, 2016. [3]R. Ramachandran, S. Karthik, and P. S. Kumar, “War Field Spying Robot Controlled by Raspberry Pi,” International Journal for Research in Applied Science and Engineering Technology (IJRASET), vol. 10, no. 5, pp. 1021–1026, 2022. https://www.electronicsforu.com/electronics- projects/hardware-diy/25- robotics-project-ideas https://www.electronicwings.com/avr- atmega/accelerometer-adxl335- interfacing-with- atmega16 https://www.engineersgarage.com/interfacing- triple-axis-accelerometer- with-atmega16/

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