Advanced Shoeprint AI

AI-Powered Shoeprint Analysis

State-of-the-art Vision Transformer (ViT) model for precise shoeprint matching and identification. Now integrated into Rekon by Coreviz.

Shoeprint
Crime Scene Print
Shoe
Database Match
Match Confidence
94.5%

Advanced Shoeprint Analysis

Powered by a fine-tuned Vision Transformer (ViT) model, CoreSole delivers unprecedented accuracy in shoeprint matching and identification.

Pattern Recognition

Advanced AI algorithms identify unique patterns and characteristics in shoeprints with 94.5% accuracy.

Database Matching

Match crime scene prints against a database of 50,000+ shoe models and patterns.

Real-time Analysis

Process and analyze shoeprints in real-time with our optimized AI pipeline.

Technical Overview

Vision Transformer Architecture

Our CoreSole AI utilizes a fine-tuned Vision Transformer (ViT) model, specifically optimized for shoeprint analysis and matching.

1
Fine-tuned on 1M+ shoeprint images
2
99.7% accuracy in pattern matching
3
Real-time processing capabilities
4
Seamless integration with Rekon
Model Architecture
Model Size86M Parameters
Training Data1M+ Images
Inference Time<100ms

FAQs

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.