01
USPTO Provisional · Pending
Hyper-Realistic Personalized Product Visualization System
Biometric CompositingAI Quality FilterPredictive CachingHuman & Pet
Covers the core system for aggregating biometric data (human or pet) with product data to generate composite images. A specialized AI Quality Filter Agent analyzes every output for realism and structural integrity, automatically rejecting defective results. A predictive caching engine pre-generates and filters subsequent images in a background queue while the user views current results — enabling an instant-loading e-commerce experience with only high-fidelity images ever reaching the shopper.
02
USPTO Provisional · Pending
Smartphone-Captured Biometric Fashion Visualization
360° View Generation3D Body ModelVideo Try-OnMulti-Market
Covers a method for capturing a user's comprehensive biometric data via smartphone camera, storing it securely in a databank, and using AI to render images, videos, or 360-degree views of fashion items on a 3D model derived from the user's unique body shape and size. By showing shoppers exactly how items will look on their own proportions, the system improves purchase confidence and materially reduces return rates. Applications extend beyond fashion retail into fitness, healthcare, and entertainment.
03
USPTO Provisional · Pending
Zero-Latency Predictive Diffusion Architecture
Speculative DiffusionMulti-Layer CacheVolumetric Offset RegressionMulti-Head Discriminator
An advanced generative architecture for rendering biometric composites at zero-perceived latency. A multi-layer computation cache stores preprocessing tensors, intermediate diffusion states, and final images. A predictive orchestration engine calculates confidence probabilities for user-object pairings, triggering speculative partial diffusion for moderate-confidence pairings to pre-compute and cache latent states. A volumetric offset regression network compensates for non-rigid topological occlusions, while a multi-head discriminator agent injects spatial artifact heatmaps as corrective gradients during denoising — dramatically reducing GPU cycles and eliminating anatomical distortion.
04
USPTO Provisional · Pending
Privacy-Preserving Edge AI Try-On System
On-Device ProcessingSecure EnclaveQuantized GenAIGDPR / CCPA
A privacy-first hybrid architecture where user biometric data is stored exclusively within a local secure enclave on the client device — never transmitted to an external cloud. When a try-on is requested, only the product asset matrix is downloaded from a central repository. A locally executed, quantized generative AI engine synthesizes the composite image entirely on-device. A local predictive scheduler handles zero-latency background generation, and an AI filter agent handles quality auditing locally. This architecture guarantees hyper-realistic results with absolute biometric data privacy and full regulatory compliance.
