As a fingerprint examiner, I want to calculate likelihood ratios for fingerprint comparisons, so that I can provide a statistical estimate of the weight of evidence in forensic cases.
Minutiae-Based Probability Modeling: AI could analyze fingerprint minutiae and generate likelihood ratios based on large reference datasets.
Distortion & Quality Adjustment: AI could account for variations in print quality, pressure, and distortion when calculating LRs.
Database Comparison Scaling: AI could compare questioned prints against large forensic databases to determine match probability distributions.
Error Rate Estimation: AI could estimate and incorporate false positive and false negative rates in LR calculations.
Explainability & Transparency: AI could visualize and justify LR computations, aiding examiners and court presentations.
Our mission is to inspire the forensic science community to explore how AI can transform their practice—enhancing reliability, efficiency, and decision-making while valuing transparency and trust
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
