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 ...
Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...
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 ...
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
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