Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

In the past 20 years, the dominant technologies in image processing, computer vision and pattern recognition, which are of Prof. ZHANG’s research interests, have significantly changed and evolved.

The value of the market in computer vision technology is predicted to hit $48 billion by the end of 2022 and is likely to be a source of ongoing innovation and breakthroughs throughout the year ...

Algorithms and architectures for image, video, audio and voice processing, Adaptive signal processing, Biomedical signal processing, Computer vision, Deep learning, Biometrics, fast discrete ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

Recent years have seen an increasing need for Vision AI applications using AI to enable real-time image recognition. Vision AI, which substitutes AI for human visual recognition, requires optimal ...

Image Processing: Computer vision systems start by processing raw image data. This includes converting visual information into pixel-based data that can be analyzed by algorithms.

This is Ambarella’s first mass-market SoC family to integrate its latest CVflow® 3.0 AI engine, which provides 3x the performance over the prior generation with support for VLMs and vision ...