Medical sensors improve the accuracy of disease detection and treatment planning by enabling accurate diagnostics and ...

Next, we changed focus towards comparing two pictures, and determining the scale of their changes from one another ... This gives merit to the versatility and practicality of the concept, being both ...

These methods are image loading, background subtraction, shadow removal, monocular depth estimation, pointcloud calculation, 3D convex hull, and volume thresholding. Volume thresholding is a reliable ...

DFRobot EDU Team officially unveils the UNIHIKER K10, an AI learning tool designed for K12 education. This all-in-one device features a camera, microphone ...

The planets are all too hot for life as we know it, but astronomers haven’t given up searching for more planets in Barnard's ...

Motion Detection and Tracking, Saliency Map. A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image ...

Abstract: Object detection algorithms are pivotal components of unmanned aerial vehicle (UAV) imaging systems, extensively employed in complex fields. However, images captured by high-mobility UAVs ...

To address these challenges, we propose a novel semantic-spatial feature enhanced detection model tailored for forward-looking sonar images, focusing specifically on marine environments. Our model, ...

It shows how retinal dynamics shape perception can lead to motion detection after we initially perceive a complex static image. "This research advances our understanding of contrast sensitivity ...

Understanding the Difference Between ToF and LiDAR Although both are used for depth sensing, it is important to note that ...

Researchers have performed the first imaging of embryos using cameras designed for quantum measurements. The academics investigated how to best use ultrasensitive camera technology, including the ...