Novarc Technologies introduces arc welding solution with AI, machine learning and vision
July 31, 2024
By Manufacturing AUTOMATION
Novarc Technologies recently launched its NovEye Autonomy Gen 2, a real-time vision processing system designed to constantly improve weld quality based on data collection and model enhancement to fully automate the pipe welding process while maximizing productivity and delivering the highest quality welds.
NovEye Autonomy Gen 2 is an AI machine learning real-time vision processing system that constantly improves welds based on data collection and model enhancement. NovEye Autonomy reportedly gets smarter as it continuously improves through a terabyte-scale library of welding videos, ensuring unmatched precision and reliability.
The company explains that the software is embedded in the control system of the cobot and controls the weld pool in the same way a human welder would, allowing the boring, repetitive welds to be delegated to the robot. The autonomous welding process reportedly enables uninterrupted welding due to NovEye Autonomy Gen 2’s multi-pass and multi-layer autonomous welding system, which is able to handle real-world pipe fitting inconsistencies like HiLo and varying root gaps. NovEye Autonomy Gen 2 can detect and adapt welding parameters to maintain weld integrity.
Novarc also states that NovEye Autonomy Gen 2 can integrate into existing manufacturing processes of customers across a range of industries. The Spool Welding Robot – the hardware component of NovEye Autonomy – is designed with a very small footprint, but a very long reach, enabling it to fit in almost all fabrication shops, and easing the adoption of automation.
NovEye Autonomy Gen 2 is reportedly the result of years of data collected from Novarc’s fleet of SWRs at customer sites in North America, Europe, the Middle East and Australia, and has undergone extensive internal and external testing to ensure all of the features are performing and the weld quality meets ASME standard to ensure unmatched precision and reliability.
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