This project begins with investigating the architecture of tracking technologies in Amazon Go stores. Initially investigating the role of Amazon’s RGB, infrared, and depth-sensing cameras, we researched how the store’s technologies are able to not only identify, but also track and monitor the behavior of a shopper moving around the store. This project’s research rigorously analyzes and maps these spaces of information extraction, with the intent of understanding how these integrated technologies both operate and “see” at a range of spatial scales. Beyond “convenience,” where tracking is a means of product and service improvement, we argue that these tracking technologies have also produced data subjects, where the shopper is modeled as information. Amazon Go’s cameras, equipped with computer vision, sensing, and imaging ultimately generate a new form of vision - or way of seeing. This form of vision also acts as a form of power and it happens without us knowing. This project aims to call attention to these moments by making them visible. The goal of this project is to design an architecture of defense that responds to surveillance and spaces of data extraction. We propose a wearable architectural device [The Stealth Pack] that gives autonomy to the data subject on whether or not they want to participate in data extraction.