Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Abstract: Filter is one of the key components of automobile, and the defects directly affect engine life, performance and emission control. Timely detection of these defects is critical to ensuring ...

Sony IMX678 STARVIS™ 2 Color Sensor | Up to 120+ dB HDR Imaging | LED Flicker Mitigation | Low-Light Performance | ...

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Congenital heart defects (CHDs) are among the most common birth defects, affecting nearly 1 in 100 babies born in the U.S. Yet despite advances in prenatal imaging, CHD remains one of the most ...

Abstract: Defect of insulators and vibration dampers on power transmission lines would affect the normal operation of power transmission. Defect detection of insulators and dampers always relies on ...

Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy and ...

A production-ready AI vision system for real-time defect detection and classification in manufacturing environments. Achieves >95% accuracy with <100ms latency on edge hardware (NVIDIA Jetson, RTX).

Obstetricians at Mount Sinai were the first in New York City to use an artificial intelligence tool that can lead to early detection of congenital heart defects in fetuses. Doctors in the Raquel and ...