Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...

Object detection is a critical task in computer vision, involving the identification and localization of objects within an image 1. Object detection algorithms typically extract meaningful results ...

Scientists using a global array of radio telescopes have detected the universe’s lowest-mass dark object by observing how it warped light through gravitational lensing. The invisible mass, about a ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...

In the Chinese Pharmacopoeia, 2020 edition, the identification of both Shi Chang Pu and Shui Chang Pu employs a combination of empirical identification, microscopic identification, and physicochemical ...

Abstract: Recent advancements in medical object detection (MOD) have been propelled by the rapid evolution of deep learning (DL) technologies, revolutionizing medical imaging and diagnostic workflows.

Locomotion, the ability to move from one place to another, is an essential survival strategy for virtually every organism. Adapting to the unpredictable terrain they run into, cells, fungi and ...

In the previous article, we discussed object classification, a key task in computer vision based on deep learning. We explored how machines can analyze an image and label it as “correct” or “defective ...