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Free Webinar |
MIPAR v6.0: Powerful Detection, Powerful Automation
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✔︎ New AI Detection Architectures Explore UNet and YOLOX, two new model types added since v5.0, and learn when to use each of MIPAR's four AI approaches for your specific applications ✔︎ Automated Measurement & Batching
See the redesigned Batch Processor in action, with live processing previews, batchable Color by Measure visualization, and automated report generation. ✔︎ UX, Performance, and What's Next
A look at Function Search and the speed improvements shipped in v6, plus a preview of what's coming. ✔︎ End-to-End Application Demos
Watch complete workflows, from raw image to finished report, across real applications like particle analysis, Q/C pass-fail, and weld inspection. About the Webinar
Introducing MIPAR v6.0
MIPAR v6.0 represents a major step forward in AI-powered image analysis. Since our v5.0 webinar, we've shipped two new deep learning architectures, a completely redesigned Batch Processor, NVIDIA Blackwell GPU support, and a suite of measurement and visualization tools that work together to take you from detection to a finished, automated report. This webinar packages all of it together — and more importantly, shows you what it means for your actual applications. Choosing the right Deep Learning approach MIPAR now offers four distinct detection architectures: SegNet, UNet, YOLOX, and Spotlight. Each has real tradeoffs. We'll walk through the full model landscape: when UNet's superior generalization across variable samples matters, when YOLOX's fast bounding-box annotation is the right starting point, and how combining YOLOX with Spotlight gives you object-detection speed with pixel-precise boundaries. If you've been using SegNet for everything, this section will change how you approach new applications. From Detection to Automated Report Detection is only half the job. The redesigned Batch Processor, rebuilt in v5.3, brings live processing previews, real-time overlays, and a unified interface that makes production-grade automation practical. Paired with batchable Color by Measure and text measurement overlays that carry through to PDF and Word reports, every image in a dataset gets consistent formatting and output with no manual intervention. By attending, you'll come away with a clear picture of everything recently shipped since v5.0 and how to put it to work. Whether you're a current MIPAR user or evaluating for the first time, this is your opportunity to see what modern, fully automated image analysis looks like. Download the latest version at mipar.us/trial — or reach out to [email protected] to arrange a proof of concept on your own images. |
April 14, 10AM EDT
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