CrackVision Platform
Advanced image analysis for concrete crack detection and classification
CrackVision is an advanced machine learning project that utilizes deep learning techniques to classify the severity of concrete crack images. The model can accurately identify and categorize cracks into multiple severity levels, helping engineers and inspectors assess the condition of concrete structures more efficiently and accurately.
- •Multiclass classification for crack severity levels
- •Deep learning model using TensorFlow/Keras
- •High accuracy in crack detection and classification
- •Web interface for easy image upload and analysis
- •Real-time prediction with confidence scores
CrackVision is a deep learning-based solution designed to detect and classify cracks in concrete structures. The system can identify different severity levels of cracks, helping in early detection and maintenance planning for infrastructure.
This project is currently under active development. The machine learning model is being trained and fine-tuned to achieve higher accuracy in crack classification. The web interface is being developed to provide an intuitive way for users to upload images and receive instant crack severity assessments.
Interested in this project?
Check out the code on GitHub or get in touch to learn more about how CrackVision can help with your infrastructure inspection needs.