State-of-the-art Vision Transformer (ViT) model for precise shoeprint matching and identification. Now integrated into Rekon by Coreviz.
Powered by a fine-tuned Vision Transformer (ViT) model, CoreSole delivers unprecedented accuracy in shoeprint matching and identification.
Advanced AI algorithms identify unique patterns and characteristics in shoeprints with 94.5% accuracy.
Match crime scene prints against a database of 50,000+ shoe models and patterns.
Process and analyze shoeprints in real-time with our optimized AI pipeline.
Our CoreSole AI utilizes a fine-tuned Vision Transformer (ViT) model, specifically optimized for shoeprint analysis and matching.
Have questions about CoreSole? Contact our team for detailed information.
CoreSole achieves 99.7% accuracy in pattern matching through our fine-tuned Vision Transformer model. The system has been extensively validated on real-world crime scene data and continues to improve through ongoing training.
CoreSole can analyze various types of shoeprints including partial prints, distorted prints, and prints from different surfaces. Our AI is trained to handle challenging conditions like poor lighting, surface variations, and partial impressions.
CoreSole is now fully integrated into the Rekon platform, providing seamless shoeprint analysis capabilities alongside other forensic tools. The integration allows for unified evidence management and cross-referencing with other types of forensic data.
CoreSole processes shoeprints in real-time, with typical analysis times under 100ms per print. The system can handle batch processing of multiple prints simultaneously, making it suitable for high-volume forensic analysis.
Our database is continuously updated with new shoe patterns and models. It currently contains over 50,000 unique shoe patterns and is regularly expanded through partnerships with footwear manufacturers and forensic databases.