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The rapid advancements in ubiquitous computing have made surveillance robots vital in military and security systems. IoT and sensor miniaturization enable new autonomous monitoring capabilities where traditional fixed installations or human operators prove ineffective. IntelliGuard, an ESP-32-based IoT surveillance robot, integrates camera streaming, motor-driven navigation, and centralized processing for military applications. The system provides autonomous mobility, real-time surveillance, and secure data transmission while remaining cost-effective. Radar and ultrasonic sensors enable precise obstacle detection within three meters. Field testing revealed performance variations under different environmental conditions, with optimal functionality in low-interference settings. Response latency remains minimal while IoT connectivity enables remote operation. Performance directly correlates with sensor precision and connection quality. Future developments will focus on more accurate sensors, stronger communication protocols, improved navigation for irregular obstacles, and enhanced filtering algorithms to minimize interference effects. This study establishes a foundation for advanced IoT-connected robotic surveillance systems in military applications.

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IntelliGuard: IoT-Enabled Autonomous Spybot Intelligence for Real-Time Surveillance in Next-Generation Security Applications

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Dhruv Dhayal,
  • Pratham Aggarwal,
  • Manzoor Ansari

摘要

The rapid advancements in ubiquitous computing have made surveillance robots vital in military and security systems. IoT and sensor miniaturization enable new autonomous monitoring capabilities where traditional fixed installations or human operators prove ineffective. IntelliGuard, an ESP-32-based IoT surveillance robot, integrates camera streaming, motor-driven navigation, and centralized processing for military applications. The system provides autonomous mobility, real-time surveillance, and secure data transmission while remaining cost-effective. Radar and ultrasonic sensors enable precise obstacle detection within three meters. Field testing revealed performance variations under different environmental conditions, with optimal functionality in low-interference settings. Response latency remains minimal while IoT connectivity enables remote operation. Performance directly correlates with sensor precision and connection quality. Future developments will focus on more accurate sensors, stronger communication protocols, improved navigation for irregular obstacles, and enhanced filtering algorithms to minimize interference effects. This study establishes a foundation for advanced IoT-connected robotic surveillance systems in military applications.