Shine The Light v1.0 ((ACTIVE BETA-TESTING))

Shine The Light – Automated Visual Serial Recognition for Stolen Luxury Watch Recovery
An AI-powered tool for autonomous identification of stolen or counterfeit luxury watches via online image analysis.

System Overview:
Shine The Light is a background-operating forensic utility designed to automatically scan and analyze online marketplaces and user-uploaded images for visible serial numbers associated with luxury watches. The platform reduces manual investigator workload by continuously cross-referencing extracted serials with a maintained blacklist of stolen or counterfeit watch identifiers.

Core Capabilities:

    Autonomous Marketplace Monitoring:
Continuously monitors high-traffic platforms such as eBay, Craigslist, OfferUp, and others for new listings that contain images of luxury watches.

Visible Serial Number Extraction:
Utilizes advanced image recognition to detect, isolate, and extract serial numbers directly from watch engravings or dial photos, even when partially obscured.

Blacklist Matching Engine:
Extracted serials are cross-checked against a centralized and regularly updated database of stolen or counterfeit watch serial numbers, enabling real-time flagging of suspicious listings.

Exif Metadata Analysis:
  Extracts embedded metadata (including GPS coordinates) from listing images, enabling geolocation of potential sellers or recovery sites when available.

Image Similarity Detection & Flagging:
Compares newly identified watch images to existing flagged items for duplication or relisting, helping track serial resale attempts and organized fencing operations.

Counterfeit Pattern Recognition:
AI engine references a database of known counterfeit serial formats used to bypass theft detection, improving the accuracy of authenticity assessments and alerting investigators to deception attempts.

Fully Automated Background Operation:
Designed to run continuously on a dedicated system without user intervention, automatically logging activity and generating alerts for investigative review.

System Requirements: Windows 11+