The convergence of AI, AR, and computer vision is ushering in a new era for the industrial sector. These technologies complement each other, creating a digital ecosystem where data is continuously ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines ...

Out-of-distribution (OOD) detection presents a significant challenge in deploying pattern recognition and machine learning models, as they frequently fail to generalize to data from unseen ...

OCR serves as a diagnostic tool in fields such as machine vision, pattern recognition, and machine intelligence. Handwriting recognition, a key area of OCR, is widely used to evaluate a computer's ...

HAR holds both theoretical and practical value. Theoretically, it intersects multiple disciplines—computer vision, pattern recognition, and machine learning—posing challenges in effectively modeling ...

Computer vision and GenAI drive next-gen farming innovation The integration of computer vision into agriculture is driving a shift from labor-intensive manual monitoring to intelligent, automated ...