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Virtek AI-enabled camera brings high visibility to manufacturing workflow

Iris 3D process monitoring software has been integrated with a camera that captures high-definition color images during ply layup and assembly processes for comprehensive data collection and management.

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Virtek Iris AI camera up close. Source | Virtek

Machine vision company Virtek Vision International (Waterloo, Ont., Canada) presents its next-generation Iris 3D process monitoring software, integrated with an artificial intelligence (AI)-enabled camera system.

The Virtek AI camera captures high-definition color images which manufacturers can use to document their build process through to process completion — logging the sequence and duration of individual process steps and creating a digital record for each part that can be used to improve quality and create further efficiencies. Users can upload captured images and process data to their ERP system for visual data reporting and to maintain lasting quality compliance records.

According to Dietmar Wennemer, president and CEO of Virtek Vision, Iris 3D enables users to “supplement their static manufacturing data with high-resolution color images captured during ply layup and assembly processes. In essence, our system enables manufacturers to collect and manage data visually throughout their entire manufacturing process.”

A key feature is Iris AI for Universal Inspections, slated for launch in mid-2024, which enables users to create and deploy customized AI inspection models based on their chosen parameters. The user’s custom-built AI inspection model will run within the Virtek Iris platform and will be fully integrated with Iris’ laser-guided build process. When the system detects an anomaly, it prompts the operator to either correct and reinspect it, or defer to a supervisor to accept it before moving on to the next step in the assembly process.

Virtek says that its focus with this enhanced technology was to make the implementation and use of smart technologies easy and operator friendly. 

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