IoT And Machine Learning Empowered Smart Electro Pneumatic Vertical Glass Climbing and Cleaning Robot

New glass facade high-rise buildings bring great challenges to frequent cleaning by height, safety, and labor inefficiency. To solve these challenges, this project introduces a new Pneumatic Glass Cleaning Robot with IoT Monitoring to facilitate facade maintenance automation and improvement. The robot carries an electro-pneumatic climber system with it to climb vertically on the glass surface in a safe and precise manner. An IoT water spraying pump is integrated in the system, and remote access to the cleaning operation is made possible by creating an IoT dashboard or smartphone app. Water management is facilitated by the smart control and requires spraying during operation. The master controller employed is a Raspberry Pi with the camera module for optical monitoring of the glass surface. For maximum efficiency in cleaning, the system employs machine learning-based detection of dirt using YOLOv11, which utilizes real-time inputs from cameras to detect highly soiled areas. Upon detection, the robot places extra emphasis on such areas through rigorous cleaning regimes, e.g., spinning brushes and water spray targeting. The intelligent robotic system maximizes operational safety, minimizes the human workforce, and optimizes cleanliness in the most famous buildings. IoT, electro-pneumatics, and AI-based vision integration makes the system productive, flexible, and prepared for next-generation city infrastructure maintenance.