Abstract: Automated sewer defects detection has become an important trend for better management and maintenance of urban sewer systems. Deep learning technology has developed rapidly and offers an ...

This project focuses on automatically classifying the condition of solar panels using Deep Learning techniques. The model identifies six different panel conditions, including environmental ...

Abstract: Vision-based approaches are widely used in steel crack detection. After processing the images taken by the camera, the superficial defects can be detected. Due to the common limitation of ...

A beginner-friendly hackathon project that detects anomalies in industrial images, estimates the likely root cause, and displays results in a simple Streamlit dashboard. Upload industrial images ...

Meta’s new AI detection tool isn’t working entirely as advertised, according to a new report. Meta debuted its first image ...

Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV modules using motion-enhanced SWIR drone imaging. The approach allows ...

Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...

AI fiction detection reaches 93% accuracy using only narrative structure — how plots unfold, themes are stated, and endings ...

Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in diamond and other advanced semiconductor materials. By making it easier to spot ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...