As a forensic drug analyst, I want to determine whether pills, capsules, or other pharmaceuticals are counterfeit or genuine, so that I can help law enforcement, regulatory agencies, and public health officials prevent the distribution of illicit or dangerous substances.
Spectral & Chemical Composition Analysis: AI could analyze spectroscopy data (e.g., Raman, NIR, mass spectrometry) to compare drug composition against known pharmaceutical databases.
Image Recognition for Physical Characteristics: AI could compare pill size, shape, color, and imprint codes to detect subtle inconsistencies in counterfeit products.
Database Cross-Referencing: AI could match samples against pharmaceutical databases, such as the FDA’s Drug Identification Database, to verify authenticity.
Anomaly Detection in Ingredients: AI could identify unexpected excipients, fillers, or illicit compounds, flagging suspicious samples for further investigation.
Supply Chain Tracking & Pattern Recognition: AI could analyze trends in counterfeit drug seizures to detect emerging threats and distribution patterns.
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.
