Project Overview
My connection to Detroit, where AI was used to misidentify a Black man, inspired my installation "All Eyes on U," which explores the racial biases and surveillance implications of facial recognition technology. By tracking viewers' faces and analyzing their expressions, the work highlights the intrusiveness and potential misuse of this technology. A canvas collage representing a biometric dataset emphasizes themes of privacy, civil liberties, and the ethical challenges of AI. The piece invites curiosity while encouraging reflection on racial biases embedded within technology, aiming to raise awareness and spark conversation about these critical issues.
Interactive Features
motion Tracking: Cameras track viewers as they approach, highlighting surveillance. Coded using p5.js and Arduino ide.
Expression Analysis calculation: Real-time evaluation of facial expressions, illustrating system biases using ml5.js
Purpose
The project seeks not only to raise awareness but also to challenge viewers to critically examine how racial biases in technology can perpetuate inequality, urging a collective responsibility in ensuring more equitable and ethical technological development.
Media and Tools
Arduino: Hardware integration
P5.js: Interactive programming using ml5.js
ESP32 Cameras: Facial tracking
Collage on Canvas: Biometric dataset representation
Early concept sketch
I wanted to create a surreal and hyper-real state of surveillance. Initially, my plan included using dummy cameras, but I ultimately chose EP-32 cameras due to their functionality and ease of integration with servo motors. I had also conducted research beforehand, incorporating my own dataset into the design.
Early code sketch of Facial recognition tracking using ML5.js
