Leveraging AI to ethically and transparently analyze Body-Worn Camera footage for evidence-based policing reform.
About OpenBWC
Our commitment to transparency and ethical AI in policing.
Our Mission
Accurately interpret Police BWC footage by employing open source ML, CV, & NLP technologies, resulting in identifiable behavioral patterns among police & civilians, analyzed in an interdisciplinary setting.
Our Vision
Improve policing through evidence-based recommendations sourced from BWC footage by leveraging AI in an ethical and unbiased manner.
Our Journey
A look back at our key milestones over the last year.
August 2024
Project Conception
Initial research into leveraging open-source AI for police accountability began, forming the foundational ideas for OpenBWC.
November 2024
Team Formation
An interdisciplinary team of ML, Criminology, and NLP researchers was assembled to tackle the project's complex challenges.
February 2025
Prototype Development
Began development of the core analysis engine, focusing on computer vision models for object and behavior detection.
May 2025
Data Partnership
Secured first partnership for anonymized BWC footage, enabling real-world testing and model refinement.
August 2025
Public Launch
Launched the OpenBWC website and initial open-source code repositories to engage the wider community.
Who We Are
The interdisciplinary team driving OpenBWC forward.
Publications
Our research and findings.
Content for this section is coming soon. Please check back later for our published papers, articles, and conference presentations.
Get In Touch
Have questions or want to collaborate? Reach out to us.