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In industries, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality ...
Traditional detection methods for AI-generated content rely heavily on access to the inner workings of the models - an ...
The quantum image edge detection algorithm is based on quantum state ... resource consumption, model generalization, and hardware compatibility. Its Quantum Principal Component Analysis (QPCA ...
The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny also produced a ...
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Real-time boundary detection from noisy images and single-shot HDR imaging expand applicationsPatent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...
Airport Technology on MSN1d
Smiths Detection to deploy AI-powered screening technology at Dubai AirportThe new screening systems will use AI and ML for better image clarity, automatic threat detection, and more accurate risk ...
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Image-based model enhances the detection of surface defects in low-light industrial settingsIn industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...
MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today that their newly developed quantum edge detection algorithm has broken through the limitations of classical methods. This ...
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