Photoneo, Neousys Technology partner for high-performance computing, advanced 3D imaging

Reliable edge AI processing meets 3D vision-guided robotics

By Robotics 24/7 Staff    November 26, 2024         

Photoneo, Neousys Technology partner for high-performance computing, advanced 3D imaging

Photoneo

Neousys Technology and Photoneo announced a partnership, combining rugged edge AI computing with high-resolution 3D imaging to unlock unprecedented automation capabilities.

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Photoneo, Neousys Technology partner for high-performance computing, advanced 3D imaging

Photoneo

Neousys Technology and Photoneo announced a partnership, combining rugged edge AI computing with high-resolution 3D imaging to unlock unprecedented automation capabilities.

Photoneo, a Slovakia-based developer of advanced 3D cameras and imaging technology, and Neousys Technology, a Taiwan-based provider of edge AI computing platforms and rugged embedded computers, have announced a strategic partnership.

Neousys will deliver robust, high-performance computing platforms merged with Photoneo’s advanced 3D imaging technology - from Photoneo’s 3D scanners to 3D robotic intelligence software.

Deploy 3D-vision guided robotics in harsh environments

The integration of Neousys’ rugged, wide-temperature GPU computing systems and Photoneo’s high-resolution 3D cameras introduces a platform that can meet the demands of complex industrial environments.

“Photoneo’s world-leading high-resolution and high-accuracy 3D cameras unlock the full potential of fast machine learning by reducing training and deployment times,” said Robert Chang, sales manager at Neousys. “We are delighted that Neousys industrial GPU computers support Photoneo to lead the way for advanced 3D vision-guided robotics.”

Neousys’ industrial-grade platforms, featuring shock- and vibration-resistant GPU brackets, deliver stable and reliable edge AI processing under extreme conditions, ensuring continuous operation and minimal downtime.

“As more companies integrate 3D vision-guided robotics into their advanced automation processes, identifying innovative solutions that push boundaries and bridge gaps is essential for scaling the adoption of this technology across industries,” said Marcel Svec, VP of strategy & product at Photoneo. “Cooperation with Neousys’ range of industrial GPU computers we can provide a great performance-to-value ratio to our customers”.

The companies also highlighted the following potential benefits for efficiency and deployment versatility:

  • Turnkey offering for easy integration: This partnership offers customers a comprehensive, pre-integrated platform that allows for easy integration with existing infrastructure. By reducing deployment time and minimizing operational disruption, businesses can rapidly enhance their automation capabilities without the typical delays and adjustments associated with new technology adoption.
  • Accelerated automation and reduced training times: Photoneo’s 3D cameras deliver high-resolution and high-accuracy data. By matching Photoneo’s fast cameras with strong computing power from Neousys, the companies hope to deliver high throughput (short cycle time) robotic offerings. They offer substantial time savings for organizations looking to quickly implement 3D vision-guided robotics in manufacturing, logistics, automotive and more.
  • Reliable performance across challenging environments: Neousys’ rugged computing systems are built to perform in extreme conditions, making them ideal for diverse applications from factory floors to outdoor logistics. With features like a wide temperature range and vibration-resistant GPU brackets, Neousys’ technology provides the stability required for continuous, precise machine vision operation across varied environments, supporting industries in their mission-critical tasks.

 

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Article Topics

Artificial Intelligence   Deep Learning   Machine Vision   Machine Learning   Components   Sensors   Cameras   Software   Cloud and Edge   News   Press Release   3D Scanning   Camera   Computer Vision   High-Performance Computing   Photoneo  

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