Trusted Partnerships
Leveraging AI to ethically and transparently analyze Body-Worn Camera footage for evidence-based policing reform.
The vast majority of policing captures officers simply doing their jobs—a reality that stays hidden due to privacy laws and massive data volume.
Accurately interpret Police BWC footage by employing open source ML, CV, & NLP technologies
Using transparent, open-source technologies to ensure accountability and fairness in every analysis.
Identifying behavioral patterns through rigorous analysis to support data-driven policy reform.
Open-source methodology that anyone can review, audit, and contribute to for collective improvement.
Latest updates, features, and announcements from the OpenBWC team.
RIT scientists developing machine learning techniques to analyze body-worn camera footage
RIT gets $1M to analyze body-worn camera footage
Machine learning meets law enforcement in RIT research project
RIT professor to use machine learning techniques for body cam analysis
RIT, RPD partnership looks at AI methods to analyze body-worn camera footage
RIT scientists develop technology to analyze police body cam footage
RIT teaming with Rochester Police to analyze body-worn camera footage
Help us build a more transparent and accountable future for law enforcement through open-source AI analysis.