Picture and Video Triage Using Advanced Image Categorization

There can be hundreds of thousands of images on digital devices – where does an examiner start? Techniques based on file size, date created, and hash sets are a good start, but are insufficient for the sheer volume of data examiners must sort through. What if investigators could view files with specific types of images first? Learning engines can be trained to identify pictures or videos that likely depict categories like weapons, pornography, drugs, and graphic violence. When combining image categorization with previous prioritization techniques, investigators can more quickly triage a device – allowing them to look at the best candidates that may be relevant to their case. Knowing how these models are trained, how to appropriately use them, and why it is essential to understand their power and limitations will reduce an investigator’s workload. 


BlackLight 2019 R1 filters images and videos for different threat categories through our partnership with the most trusted provider of offensive picture and video recognition software on the market: Image Analyzer.

Join us for an on-demand webinar where BlackBag experts, Derrick Donnelly, Co-Founder and Chief Scientist, and Drew Fahey, Vice President of Engineering, and Image Analyzer’s Nick Drew will demonstrate this important topic.

This webinar covers:

- Image categorization technology and differences between techniques
- Image categories available in the initial release
- How BlackLight will process images and show the threat categories
- How to triage images, including using the new threat category