AUTONOMOUS LINE-GUIDED ROBOT WITH REAL-TIME INDUSTRIAL INSPECTION CAPABILITIES

Abstract

This project focuses on the design and development of an autonomous line-guided robot capable of performing real-time industrial inspections. The robot integrates advanced sensor technologies, including infrared and ultrasonic sensors, for precise navigation along predetermined paths. A microcontroller-based control system allows for automated detection of anomalies such as obstacles, surface defects, or deviations in industrial setups. Real-time data acquisition and processing enable immediate decisionmaking, ensuring efficiency and safety during operations. The proposed system emphasizes low-cost fabrication, energy efficiency, and adaptability to various industrial environments. Experimental tests demonstrate accurate path-following, obstacle detection, and reliable data transmission. The integration of line-following capabilities with real-time monitoring provides a practical solution for automated inspection tasks. This approach aims to reduce human intervention, improve operational efficiency, and minimize industrial hazards. Overall, the project highlights a combination of robotics, automation, and sensor technology for industrial applications.