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.