
Achieving Sub-50ms Latency in Virtual Nail Try-On with Core ML
A technical breakdown of how EDGIST Labs utilizes Apple's Core ML and AVFoundation to achieve real-time, zero-copy CVPixelBuffer handoffs for NailARVR.
Read articleTechnical deep-dives from the EDGIST Labs engineering team on augmented reality, machine learning, and real-time computer vision.

A technical breakdown of how EDGIST Labs utilizes Apple's Core ML and AVFoundation to achieve real-time, zero-copy CVPixelBuffer handoffs for NailARVR.
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Learn why nail polish looks different in the salon versus outside, and how NailARVR uses AI Color Matching and real-time AR lighting simulation for accurate skin tone visualization.
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Discover how different nail shapes impact hand aesthetics and how NailARVR uses millimeter-precision 3D mapping to visualize almond, stiletto, and coffin profiles.
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Learn how to eliminate salon anxiety by replacing 2D reference photos with precise 3D design specifications using NailARVR's Salon Export feature.
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Discover how NailARVR combines secure server-side analysis with on-device ML to protect biometric data while preserving real-time AR performance.
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Learn how NailARVR integrates Apple's UIAccessibility, VoiceOver, and String Catalogs to create a universally accessible AR virtual try-on experience.
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Learn the exact step-by-step process for trying on nail designs virtually using real-time AR, AI color matching, and your smartphone camera.
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