There are all these studies coming out that show that pedestrian detection works great ... run that same video through a computer vision object recognition engine: The implications for what ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

AI everywhere, but optimized for different applications Object detection using machine vision requires an AI model/algorithm to run on top of AI chips, FPGAs, or modules. Together, these are commonly ...

Given computer vision’s place as the cornerstone of an increasing ... The emergence of CNN-based neural networks began supplanting traditional CV techniques for object detection and recognition.

Just making a small tweak to algorithms typically used to enhance images could dramatically boost computer vision recognition capabilities ... Figure 1: Self-driving cars could benefit from enhanced ...

The Computer Vision Research Group is dedicated to pushing the boundaries ... We also develop novel methods for visual search and object detection and modelling. In computer graphics and animation, ...

McKinsey reports that computer vision ranks second among all other ... and replace individual components of marine structures. Object detection, position estimation and path planning algorithms ...

Examples of computer vision in action include optical character recognition, image recognition, pattern recognition, facial recognition, and object detection ... a major growth engine for the ...

A research team in China has developed a novel real-time shadow detection method for PV modules. It uses computer vision for the task, with techniques that enhance the information of the live feed ...