Boogaloo Bias is the first facial recognition system designed with modern law enforcement practices and current lack of regulation in mind.
When police officers don’t have clear, high-quality images of suspects, one solution has been to substitute artist sketches, social media photos with filters, computer composite images, or images of celebrities reported to resemble a suspect. Our system is based around this practice, which is sometimes called ‘brute forcing’ facial recognition. The Boogaloo Bias facial recognition algorithm is trained on faces of characters from the 1984 movie Breakin’ 2: Electric Boogaloo. The system uses those faces to brute force the generation of leads to find members of the Boogaloo Bois anti-law enforcement militia in live video feeds and videos of protest footage.
More suspects lead to more arrests. Whereas other facial recognition systems are often designed for accuracy, Boogaloo Bias is optimized to return the largest number of suspects.
Try using our facial recognition system to surveil your friends, family, or yourself.
Law enforcement agencies have found methods for ‘brute forcing’ facial recognition to be a viable solution to a lack of clear, high quality images of a suspect. Brute forcing is the core feature of the Boogaloo Bias facial recognition system. By training our system on the characters from Breakin’ 2: Electric Boogaloo, we are able to positively identify Boogaloo Bois in live video feeds and protest footage.
Social Network Analysis (SNA) is used by law enforcement to understand, predict, and disrupt connections between individuals. Our manually created and algorithmically generated SNA diagrams illustrate the connections between the characters in the film Breakin’ 2: Electric Boogaloo.
Visit our SNA Diagrams to see them in action.