The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

The pipeline of the proposed Motion Cue Fusion Network (MCFNet) is as follows. Voxels generated from raw event streams are first processed by the Event Correction Module (ECM) to produce high-quality ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and ...

Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can be ...

AI and machine learning integrations are transforming ANVS from simple object detection to predictive systems, enabling ...

Robots are gaining the power of sight through the integration of machine vision. This is accelerating their evolution into intelligent partners capable of operating with unprecedented precision and ...

18 years into the new millennium, there are a number of exciting and evolving electronic innovations taking place. Among them is the development of ‘intelligent’ robots for industry, especially in ...