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VRAIA CORP revolutionizes tire inspection with Artificial Intelligence

VRAIA CORP continues to take great strides toward the future of the tire industry, thanks to the support of the Valencian Innovation Agency (AVI) through the Talent Promotion Program, and the INNTA2/2023/20 project, titled “Hiring a university graduate for R&D&I in artificial intelligence applied to the industry,” which is being developed between 2023 and 2025. […]

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Innovation in Lemon Inspection with Vision and Artificial Intelligence

In its commitment to technological innovation, Vraia Corp is carrying out an ambitious R&D&I project supported by the Valencian Innovation Agency. This multi-year project began in 2023 and will continue until 2025, aiming to develop a highly precise and non-invasive tool for lemon inspection, using advanced Vision and Artificial Intelligence technologies. With this system, each

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VRAIA Corp transforms the tire industry with the INBIDATIRE Project

VRAIA Corp has led the digital transformation of the tire industry by implementing advanced Computer Vision and Artificial Intelligence solutions in quality inspection processes. These technologies generate a flood of data that requires proper Big Data management to extract valuable insights, which can be used to optimize sector processes and tire quality. From its headquarters

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VRAIA CORP Drives Innovation in Tire Inspection

Between 2023 and 2024, we developed an innovative technological solution that enables the automatic inspection of texts and symbols on tires of any size and type, using a combination of artificial intelligence (AI) and computer vision (CV) technologies. This project has been carried out thanks to the support granted by the Valencian Institute of Business

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Innovative Pallet Inspection System with Vision and Artificial Intelligence Technology

VRAIA CORP, SL, committed to innovation in industrial sectors, has carried out the project “Development of an innovative system for the automatic and robotic inspection of wooden and plastic pallets based on Vision and Artificial Intelligence.” The initiative focuses on creating a high-precision tool that enables non-invasive quality control analysis of pallets with an automatic

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Quality Control of Canned Goods Using Machine Vision

2 Quality Control of Canned Goods Using Machine Vision There are various methods for storing food and keeping it in suitable conditions for consumption without jeopardizing the safety of the food and, consequently, the consumer’s health. One of the most effective and long-lasting food preservation methods is canning, as it destroys potential microorganisms and seals

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We Developed an Innovative AI Solution for the Automotive Sector

0519 EDS Robotics SL has successfully completed the development of the project titled “Development of AI and Robotics Technology Solution for the Automotive Sector.” This project, with reference number 2020/0720/00101126, has been supported by the Public Business Entity Red.es, with co-financing from European FEDER funds through the aid program focused on technological development based on artificial intelligence

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Inspection and Quality Control by Vision for Industrial Bakery and Pastry

The quality of the final product in the industrial bakery and pastry sector is crucial for commercialization at such high production levels. To achieve this, it is essential to implement a quality control system that covers 100% of the production, without errors and with a speed that does not slow down the production pace. The best solution

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EDS Robotics Drives Its International Expansion

Partnership Agreement with Exobit Digital Solutions for the International Expansion of EDS Robotics. The collaboration between the two companies aims to distribute our automotive sector products across Latin America. Automotive Sector at EDS Robotics The automotive sector has been key to our company’s growth in recent years. We have developed highly advanced technological solutions for process

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Machine Vision Systems for Quality Control

Machine vision is behind many significant advancements in industrial automation. One of the most notable achievements is its ability to automate quality control processes. In many companies, quality control is still performed manually. However, while the human ability to visually inspect various objects is impressive, the subjectivity and fatigue resulting from repetitive tasks can lead

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