Building Facade Damage Inspection
Drone-captured facade imagery annotated for AI damage detection, replacing manual rope-access inspections
A building-facade inspection company partnered with Tictag to annotate drone-captured imagery for an AI-powered damage detection system — replacing slow, costly, and dangerous manual visual inspections.
Building facade inspections are essential in maintaining the structural integrity and safety of buildings. These inspections involve the identification and assessment of cracks, erosion, and other damage on building exteriors. Traditional inspection methods required manual visual inspection, which could be time-consuming, expensive, and potentially dangerous for inspectors.
To overcome these challenges, a building facade inspection company sought to implement a cutting-edge, AI-powered inspection system utilizing drone technology and computer vision. This system required high-quality annotated data to train the machine learning models. The inspection company partnered with Tictag to fulfill their data annotation needs.
Tictag's Data Annotation Services
Tictag offers a comprehensive suite of data annotation services, with a focus on delivering high-quality, accurate, and consistent results. For this project, Tictag provided the following services:
- Image annotation: Tictag's team of skilled annotators worked on labeling the images captured by the drones during building inspections. Each image was carefully annotated to identify the different types of damage and their severity
- Object tracking: To ensure consistency and accuracy across images, Tictag's annotators tracked the identified damages across multiple frames. This enabled the AI model to effectively recognize and monitor the progression of damages over time.
- Quality assurance: Tictag implemented a rigorous quality control process to ensure the accuracy and consistency of the annotated data. Multiple layers of review and cross-validation were used to minimize errors and enhance the overall quality of the dataset.
