Timber quality control is undoubtedly a very laborious process in the secondary wood
industry. Manual inspections by operators are prone to human error, thereby resulting in …

Indoor object detection in real scene presents a challenging computer vision task; it is also a
key component of an ICT autonomous displacement assistance of Visually Impaired People …

Nowadays, 5G profoundly impacts video surveillance and monitoring services by processing
video streams at high-speed with high-reliability, high bandwidth, and secure network …

Deep learning has allowed a paradigm shift in pattern recognition, from using hand-crafted
features together with statistical classifiers to using general-purpose learning procedures for …

To restore vision for the blind, several prosthetic approaches have been explored that
convey raw images to the brain. So far, these schemes all suffer from a lack of bandwidth. An …

Using a camera to monitor an object or a group of objects over time is the process of object
detection. It can be used for a variety of things, including security and surveillance, video …

Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances
in neuroscience, alongside huge leaps in computer processing power over the last few …

Object detection networks are high-performance algorithms famously applied to the task of
identifying and localizing objects in photography images. We demonstrate their application …

In order to improve the detection accuracy of the network, it proposes multi-scale feature
fusion and attention mechanism net (MFANet) based on deep learning, which integrates …

We propose a detection-based tracking system for automatically processing maritime ship
inspection videos and predicting suspicious areas where cracks may exist. This system …