Image matching, similarity and filtering is used by law enforcement, government agencies and other organizations to search and analyze visual content, identify stolen items, moderate unwanted content and more.

Law enforcement, eDiscovery and moderation

In addition to traditional textual data, visual content is often equally important in eDiscovery, forensic investigations and moderation of user-generated content.

To ease the often-daunting task of identifying and analyzing visual content in diverse types of investigations, LTU engine has proven effective with both governmental, law enforcement and commercial organizations globally.

Proven image recognition tools for effective investigations

The combination of LTU engine’s image matching, similarity search and classification tools can be used to filter and prioritize image data – whether the sources are scanned documents, images of crime scenes, blacklisted images, videos, etc.

LTU engine is used to reduce costly manual review and human error related to:

Stolen art investigations

Identification of known stolen artifacts by investigators on site via mobile image recognition or image search on global stolen art registries.

> Read the Argos case


Identification and filtering of visual content including scanned documents, diagrams, images, charts and videos.

> Read the italian Police case


Forensic investigations

Filtering and prioritization of visual content to reduce time spent on manual review- creates binary strings that make it possible to share data with other investigators and department databases.

UGC moderation

Automatically flag unwanted uploaded visual content via blacklisting and filtering of content for prioritization of manual review.