V SBC equipped with an integrated AI Machine Vision sensor that can recognize faces, objects, lines, colors, and tags.

The global video surveillance market is growing at an unprecedented pace, driven by advancements in AI and analytics. According to Fortune Business Insights, the market size is expected to reach $143 ...

HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.

EZ Eye's algorithmic technology reduces manual image grading by 97% while maintaining 96% accuracy for automated quality ...

Abstract: This research focuses on the development of an advanced object and lane recognition system for autonomous vehicles, leveraging the YOLOv8 Deep Learning (DL) model. The primary goal is to ...

Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...

At the frontier of land science, GeoAI integrates Earth observation, machine learning, and deep learning to produce ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

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.

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...

The growing global population and rising concerns about food security highlight the critical need for intelligent agriculture. Among various technologies, plant disease detection is vital but faces ...

Oct. 7 (UPI) --NASA and the European Space Agency are tracking the 3I/ATLAS interstellar object as it travels past Mars on its way toward the Sun and through the solar system. The object is thought to ...