Canon's Crack Detection Technology uses advanced AI to accurately identify cracks and defects in infrastructure. Leveraging on high-resolution Canon EOS cameras, it captures detailed images, enhancing detection precision. This solution streamlines inspections by reducing analysis time and offers tailored AI models for specific structures, improving efficiency and reliability.
Canon's AI technology detects cracks and defects with unparalleled accuracy, minimizing the risk of human error. This advanced AI system learns from vast datasets, enabling it to identify even the smallest anomalies that might be missed during manual inspections.
Image of chalk marks drawn by the engineer during visual checks.
Result of automatic crack detection using Canon’s Crack Detection technology.
The technology is capable of identifying a broad spectrum of defects, including peeling, efflorescence, and rebar exposure. This comprehensive approach ensures that all potential issues are detected early, preventing future structural failures.
Canon's automated image analysis significantly reduces inspection time, allowing engineers to complete assessments faster and inspect more structures in less time, boosting productivity and cutting costs. For example, an AI detection system enabled a civil engineer to identify 500 cracks in just 90 minutes, compared to 720 minutes using manual methods.
Canon offers tailored AI models designed for specific structures such as bridges and tunnels. These specialized models ensure high detection precision, adapting to the unique characteristics of different types of infrastructure, something that manual inspections cannot achieve with the same level of consistency.
1. Image Capture: Uses Canon’s DSLR cameras and drones to capture high-resolution images, identifying cracks as small as 0.2 mm.
2. Image Processing: Corrects image tilt and overlays images onto structural drawings for precise crack evaluation, merging multiple angles to remove obstructions.
3. Defect Detection: Employs AI and deep learning to detect and measure crack width with 99.5% accuracy, differentiating cracks from dirt and joints.
This system enhances inspection precision and efficiency.
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Canon’s Image-based Infrastructure Inspection System
