Case Study: Hepta Airborne speeds up power line inspections with MindTitan computer vision

Hepta Airborne speeds inspection by 15% with MindTitan

Hepta Airborne, a company that helps power line utilities inspect their grids using drones, faced the challenge of manually reviewing thousands of images to detect defects. To increase efficiency and reduce costs, they partnered with vendor MindTitan to implement a computer vision solution, but were hindered by a lack of pre-existing training data and the immense volume of images collected.

MindTitan developed a custom machine learning model for automated defect detection. They overcame key hurdles by creating a cloud-based pipeline to process the data avalanche, using data augmentation to multiply the training set, and employing precise labeling. The solution implemented by MindTitan sped up the inspection procedure by 15% and enabled the detection of 11 more defects per line kilometer, allowing Hepta Airborne to process more data with the same team.

Hepta Airborne