N02 : A concrete structure climbing robot that uses deep learning (convolutional neural) to detect cracks.


Students Anthony Saturnino
School HWCD - Bishop Ryan Secondary School - Hannon
Level Senior 11/12 - Grade 11
Group Group 8 - Engineering and Computing II
Abstract The purpose of this project was to create and prototype an effective crack detection system on a concrete structure that uses a robot to gather data and a neural network to process the data to determine where cracks exist on concrete structures.
Awards
Group Award Prize
ArcelorMittal Dofasco AwardsArcelorMittal Dofasco Engineering Award$ 100
IEEE (Institute of Electrical and Electronic Engineers) Hamilton Section AwardsIEEE (Institute of Electrical & Electronic Engineers) Hamilton Section Award$ 125
John W. Howard Materials Research AwardJohn W. Howard Materials Research Award$ 100
International Science & Engineering Affiliated Fair AwardsYale Science & Engineering Association Awardmedallion & certificate
Mohawk College Building & Construction Sciences AwardsMohawk College Building & Construction Sciences Awards - Civil Engineering$ 50
Mohawk College Electrical Engineering Technology Awards Mohawk College Electrotechnology - Electrical Engineering Award$ 50
Procor Engineering AwardsProcor Engineering Award - Senior$ 150
Merit AwardsGold Merit Award$ 100
Association for Iron & Steel Technology Northern Chapter AwardsAssociation for Iron & Steel Technology Northern Chapter Award - First$ 250
Grand AwardsPrimary Fluid Systems Pinnacle Second Best in Fair$ 800
ISEF Trip AwardsISEF Trip Award
Mohawk College Computer Science & Information Technology Excellence AwardsMohawk College Computer Science & Information Technology Excellence Award$ 50