Paper Title
Crack Detection of Concrete Structures using Wall Clımbing Robot

Abstract
The wall-climbing robot can scale vertical surfaces, ceilings, and roofs, and is expected to replace the manual workers in cleaning jobs that are both dangerous and laborious. Such tasks necessitate a high degree of adaptability and versatility in robotics. The robot is automatic, allowing it to reach places that are normally difficult to reach for maintenance.Since it is closely linked to structural health and durability, safety inspection of concrete structures should be strictly carried out. However, it is difficult to detect cracks through a visual search for extremely large structures. As a result, the advancement of crack detection systems has been a major concern .Project aims to inspect vertical surfaces that can't be reached directly and capture images to identify any potential cracks. Convolutional neural networks (CNN’s) are promising frameworks for high-precision and accuracy crack detection. Keywords - Wall Climbing Robot (WCR), Image Processing, Convolutional Neural Networks (CNN), Crack Detection.