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Website: https://www.gft.com/de/de/index/
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Phone: +49 711 6204 0
GFT
GFT Technologies is a global leader in IT services and consulting, specializing in digital transformation for the financial services sector. With a strong focus on innovation, GFT leverages cutting-edge technologies such as cloud computing, blockchain, and artificial intelligence to help clients navigate the complexities of the digital landscape. The company operates in multiple countries, providing tailored solutions that enhance operational efficiency and drive business growth. GFT's commitment to sustainability and ethical practices further distinguishes it in the competitive tech industry.
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Interview with GFT Technologies’ Brandon Speweik: Moving AI from detection to action on the factory floor
Manufacturers are increasingly shifting their focus from the theoretical applications of artificial intelligence to practical solutions that address real-world challenges. While discussions around AI have primarily centered on software tools such as dashboards, analytics, and predictive models, industry leaders are now seeking ways for AI to not only identify problems but also actively contribute to solving them. This evolution in perspective reflects a growing recognition of AI's potential to enhance operational efficiency and drive innovation within the manufacturing sector. As companies explore these advancements, the emphasis is on integrating AI technologies that can deliver tangible results and improve decision-making processes on the shop floor.
Components Features Manufacturing ai robotics artificial intelligence automation news
AI-powered visual inspection using robots
GFT Technologies has unveiled an innovative AI-driven solution designed for automotive production, which integrates visual inspection with intelligent control of robotic systems. This advancement aims to enhance quality assurance processes within the industry, leveraging artificial intelligence to improve efficiency and accuracy in manufacturing. The announcement highlights GFT's commitment to advancing technology in automotive production, showcasing how AI can transform traditional inspection methods through automation.
Allgemein Künstliche Intelligenz & maschinelles Lernen Lösungen Robot Vision & Inspection
GFT Technologies AI-powered robots move from inspection to action for automakers
GFT Technologies has expanded its collaboration with Google Cloud by deploying AI-powered robots in automotive factories to enhance quality control processes. These robots are designed to identify and remove defective parts from production lines, transitioning from mere inspection to active intervention. This innovative approach aims to improve manufacturing efficiency and reduce the likelihood of faulty products reaching consumers. The initiative reflects a growing trend in the automotive industry to integrate advanced technology for better operational outcomes.
Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Automotive Cameras / Imaging / Vision Manufacturing
GFT‐VINS: Robust Visual–Inertial Localization via Geometric Feature Track Selection
A recent study published in the Journal of Field Robotics highlights advancements in autonomous navigation systems for drones, showcasing their potential applications in various industries. Conducted by a team of researchers from leading universities, the study was released in early October 2023. The research took place in multiple test environments, including urban areas and rural landscapes, to evaluate the drones' performance in diverse conditions. The motivation behind this study stems from the increasing demand for efficient and reliable drone technology in sectors such as agriculture, logistics, and disaster response. By improving navigation systems, the researchers aim to enhance the operational capabilities of drones, allowing them to perform complex tasks with greater accuracy and safety. The study utilized a combination of machine learning algorithms and real-time data processing to enable drones to navigate autonomously, avoiding obstacles and adapting to changing environments. The findings suggest that these advancements could significantly reduce the need for human intervention, leading to more efficient operations and expanded use cases for drones in the future.
RESEARCH ARTICLE
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