Runjie Wang is a Ph.D. candidate in Cinema & Media Studies at the University of Washington, Seattle. His research broadly concerns both the technical and symbolic dimensions of media objects and how these dimensions are concatenated to encode and institutionalize knowledge, techniques and practices. His digital humanities project aims to understand what and how machine vision-powered technologies see by examining images, recordings and visual data generated by automated cameras, sensors, and tracking systems, particularly employed in warehouses, assembly lines, and other industrial environments. Situated in a transnational warehouse labor context, the project culminates in an artwork operating within the interstice of human perception and machine vision and invites critical and ethical engagement with disembodied knowledge.