Automatic Inspection System Performs Comprehensive, Real-Time Surface Inspections for 3D-Printed Molds
LaserVision from Aligned Vision, to be on display at IMTS 2022, uses laser feedback for large-scale additive manufacturing to perform inspection without the need to stop production, ensuring continuous, quality manufacturing.
Mounted above the work envelope, LaserVision performs automatic inspection while production operations continue. Photo Credit, all images: Aligned Vision
Aligned Vision introduces LaserVision, an automatic inspection system with laser feedback to be used on large molds and other structures built via large-scale additive manufacturing (AM). LaserVision performs comprehensive surface inspections in real time, enabling moldmakers to quickly detect continuities, droop, drool and other flaws. It also captures detailed images and analyzes regions of interest anywhere on a complex surface (typically up to 5 x 5 m).
LaserVision performs inspections while production continues, a feature that is said to be the single most important function for mold builders: The system operates from a stationary position outside the AM work envelope and does not interfere with the AM deposition head. LaserVision is also said to accelerate corrective measures by projecting a laser pattern to highlight any anomalies in real time.
Two exclusive capabilities make LaserVision especially suitable for large-scale AM applications, the company says. First, the system captures images of high quality. Its combination of a high-magnification, 150-mm lens, high dynamic-range image sensor and data-driven autofocus function enable the system to detect very small attributes. Second, LaserVision’s open platform and versatile image analysis capabilities reportedly enable the system to employ Aligned Vision’s own AI-based algorithm development software or any third-party image processing. This means that application development is streamlined and inspection operations are up and running quickly.
LaserVision also generates a wealth of smart data, supporting deep learning initiatives to improve design and simulation processes as well as product quality and production rates.
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