Tag: Computer Vision

A sweeping review finds AI delivers impressive agricultural gains in irrigation, soil management, and pest detection, but warns that spatial ...

A new review maps how advances in computer vision, vision language models and reinforcement learning could enable collaborative robots to ...

A new detection framework combines hybrid attention, a slim dynamic head, and a novel loss function to spot crop diseases ...

A new model called MAGCAF fuses four pretrained vision systems to recognise student emotions from video, outperforming single-model approaches on ...

A new robotic system combines deep learning recognition with optimised grasp planning to harvest tomatoes in dense clusters with minimal ...

Researchers developed lightweight neural networks and a new RGB-D dataset that let robots detect accurate grasps for fruits of varying ...

A new asymmetric AI fusion framework that treats dermoscopic images as the primary representation and clinical photos as a corrective ...

Researchers have developed a wavelet-transform-based pedestrian detection model that improves accuracy on crowded benchmarks while cutting parameters by nearly 40 ...

Researchers have built a deep learning framework that detects Treacher Collins syndrome from facial images on an NVIDIA Jetson Orin ...

A new review argues that AI-IoT dairy welfare systems must be designed as complete cyber–physical architectures, with digital twins still ...

The Rubik's Cube has long served as a demanding benchmark for autonomous systems precisely because it compresses so many difficulties ...

A pilot study found that children with autism show a significantly stronger pupillary constriction to light than typically developing peers, ...

An open-source Python suite called ParaStereoSync and KineViz-3D uses consumer cameras, printed markers, and software-based synchronization to track hundreds of ...

A vision-based machine learning study of 61 dementia care residents found that ceiling-mounted cameras and gait analysis could detect gait ...

Researchers have combined YOLOv12 detection, capsule networks, reinforcement learning, and Harris Hawks Optimization into a real-time face detection framework that ...

The distinction between assessment and control is central to understanding why this framework represents a meaningful step forward for collaborative ...

A year-long commercial farm study found that providing long-stemmed straw to farrowing sows cut early piglet crushing odds by 46 ...

Researchers compared five image-tracking algorithms on advanced high-strength steel bending tests, finding Lucas-Kanade, KAZE and AKAZE-MLDB most consistent and validating ...

Researchers at Cranfield University have developed WAAM-ViD, an angle-invariant deep learning pipeline and public benchmark dataset that monitors melt pool ...

Chinese researchers have developed CDCNet, a deep learning framework that recognizes fine-grained barefoot footprint regions with 83.2 percent mean Average ...