Luceta AI Vision Platform is becoming increasingly popular after a new software solution was announced by Solidigm. The company has announced a new solution for computer vision applications within enterprises. The company has announced its powerful software solution, called the Luceta AI Vision Platform. This solution allows organizations to efficiently process visual data. For instance, organizations in the manufacturing industry, logistics industry, and retail industry can now deploy computer vision models more efficiently.
The solution streamlines the entire AI workflow. Many organizations are currently using manual inspection methods. However, these methods are inefficient and take a long time. Similarly, organizations are using machine vision systems to improve efficiency. However, these systems are difficult to program. As a result, organizations are taking a long time to deploy these systems to meet changing production conditions.
“The Luceta AI Software Suite is designed to make visual AI practical and accessible for the teams closest to the data, while remaining powerful enough to improve efficiency of data science teams,” said A.J. Camber, Vice President of the AI Software Business Group, Solidigm.
AI-Powered Automation Simplifies Model Development
To address these problems, Solidigm created the Luceta AI Vision Platform. It comprises various modules that enable the automated creation of models and the deployment of these models at the edge. As a result, organizations can easily implement AI models at the edge of their network. It also helps in the automated process of filtering and annotating the data. It also improves the models using real-time production data.
This helps organizations keep their models accurate without having to manually retrain the models. The platform is proving successful in its early days. A manufacturing organization was able to develop its first model in two weeks using the Luceta platform. It was able to achieve over 90 percent precision in its initial tests. Now, Solidigm offers proof-of-concept programs with hardware kits. It helps organizations test the platform before scaling its deployment.
“Our new software closes this gap by enabling faster data preparation and cleaning, model creation, deployment, and rapid continuous improvement in a production environment. Accelerated annotation capabilities and seamless integration across the data life cycle can enable anyone to quickly deploy new models directly at the edge, where data is generated, and decisions need to happen,” Camber said.
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News Source: Businesswire.com
