Focal Forensics is the leading provider of redaction services to law enforcement agencies in the United States. During a critical incident, a large collection of media is typically produced through the use of body-worn cameras, security footage, audio interviews and still images.
The video, audio, and images related to a case must be meticulously redacted with 100% accuracy to ensure privacy of unrelated parties before releasing publicly. Crafted was able to deliver a proof of concept (POC) in one week, which turned into a six week (and ongoing) engagement to build a custom internal tool to help automate and identify subjects that are in need of redaction.
In parallel, we evaluated the market for artificial intelligence (AI) video redaction tools to make sure it was necessary to build a custom solution. After determining we needed a custom software solution, we codified Focal Forensics’ standard operating procedures into a secure, cloud-based tool in six weeks while implementing AI assistance. Steve Bufalino, Co-Founder of Focal Forensics, said, “The internal tool is being operationalized and we project significant bottom line impact from the investment.”
Focal Forensics brought in Crafted to create a tool that leverages the most advanced facial detection machine learning (ML) algorithms to help detect and redact sensitive information. This advanced capability would reduce time spent on redaction and free up valuable resources while eliminating burn out on employees. To do so, we had to: