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It is essential to complement infrastructure improvements with modern technological solutions, such as comprehensive train monitoring applications. One such application, developed by Noema, plays a critical role in enhancing the safety and efficiency of rail networks by leveraging real-time data and predictive analytics.

Noema’s Computer Vision Applications give you real-time data & insights to make your factory, refinery or manufacturing facility safer, more efficient and more cost-effective. In our 3rd installment of the video series ‘Changing the World with Computer Vision” Noema VP of Engineering, Bruno Oliveira, dives into how Computer Vision and AI are making factories and industrial sites smarter and safer.

How does Noema use generative AI models to make real-world impacts? Noema's VP of Engineering, Bruno Oliveira explains how Noema uses generative AI to train computer vision applications in this second installment of Noema’s video series, “Changing the World with Computer Vision."

Computer Vision is cutting-edge technology making impacts across industries. But what is it?

In this post, we will pull back the curtain on these metrics, focusing on understanding the different types of metrics advertised.

DSR Corporation (DSR) and eTRUST Co., Ltd. (eTRUST) today announced a strategic business partnership to release advanced river monitoring systems that combine advanced computer vision technology from DSR’s subsidiary company, Noema, with eTRUST’s river monitoring system expertise.

Partnership Brings Together Petroleum Industry Veterans with Experts in Advanced Intelligent Video Monitoring and Analytics

Noema, a leading, edge-based computer vision AI provider, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of computer vision AI applications. The program nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient.

The rapid advancements in Artificial Intelligence (AI) have been driven by new technologies utilizing real-world data. While real-world data trains AI models, its availability is limited. As AI continues to progress, researchers and experts acknowledge the need to explore new sources of data collection. Noema employs a series of innovative techniques that have changed the way we train neural networks by moving beyond real-world data. There are several cutting-edge approaches that enable us to explore new possibilities in data collection and AI training.

Edge Computing is changing the way industries build their information systems. Providing a more flexible, secure and sustainable approach, Edge Computing is enabling everyday AI use across more and more industries. We at Noema believe that edge-based AI applications can deliver specialized, real-world solutions to optimize, automate, and improve processes across many industries in a secure and non-invasive manner.