Automated Line-Following Robot with Remote Speed Control Using Blynk
Advances in industrial automation have increased the demand for more flexible, robotically varied, and remotely controlled systems to improve operational efficiency, productivity, and safety. This work discusses a line-following robot integrated with an IoT platform designed specifically for industrial applications, featuring dynamic speed control features. The robot has been powered using an ESP32 microcontroller, which supports the major components, including a highly precise linefollowing-accurate IR sensor and a motor driver module for movement control along a specific path. It also integrates a GSM module into this system, with alerts enabled in real time, whenever the speed goes beyond a threshold value and ensures safe continuity. The combination of Blynk app integration allows flexibility in changing the speed of the robot remotely in real time, something which no other robot would be able to come close to. This is particularly useful when the process allows changes in speeds according to the different requirements of such processes, for instance, fast material transport or slow movements in sensitive assembly processes. Its motor speed regulator through Blynk app control makes the robot adapt to its applications by ensuring optimized performance as well as safety improvement. The system is highly adaptable for different applications whether on an industrial level: material handling systems, assembly lines, or just warehouse operations. By using IoT technology, it shows the capability of real-time remote control and monitoring of industrial robots, which constitutes a scalable and efficient solution for modern industries in searching to streamline workflows, enhance safety, and improve overall productivity. This IoT integrated robot presents a step toward the future of intelligent industrial automation.
Authors
- M. D.
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-05-31
- DOI
- https://doi.org/10.22214/ijraset.2025.68324
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00