A Review on Autonomous Spyderbot

Abstract

This review explores recent advancements in autonomous robotics and AI-powered surveillance systems for border security. With rising threats and cross-border activities, intelligent solutions like Automated Border Control (ABC) and Presentation Attack Detection (PAD) have gained prominence. The FlyPAD framework exemplifies dynamic identity threat detection while in motion, enhancing real-time responsiveness. Similarly, robotic systems must ensure stable interaction in unpredictable terrains. A dual-phase strategy, stability enforcement followed by performance enhancement—proves effective in uncertain environments. These developments contribute to AI-driven, adaptive monitoring systems. The integration of computer vision, real-time object recognition, and sensor-based deterrents presents a scalable solution. Such bots reduce human dependence and offer 24/7 surveillance. Future directions aim at expanding sensor networks, improving learning algorithms, and achieving seamless multi-bot coordination. This review consolidates technical insights shaping the future of intelligent border surveillance.