The project explores the limits of contemporary machine vision by confronting smartphone cameras with conditions of visual absence—darkness, uniform surfaces, and indeterminate spaces. Rather than documenting the external world, the work focuses on how computational imaging systems react when visual input collapses and perception must be inferred by the algorithm. Through a series of experimental photographic productions, the project reveals sensor noise, compression artifacts, and algorithmic hallucinations as aesthetic material, uncovering the invisible decision-making processes embedded in everyday imaging devices. By foregrounding these visual instabilities, the project questions the assumptions of objectivity, resolution, and clarity inherent to digital vision. Situated at the intersection of artistic research and speculative media archaeology, the work invites us to consider machine vision as a subjective and interpretive system that actively shapes how reality is rendered, filtered, and remembered.

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The project explores the limits of contemporary machine vision by engaging smartphone cameras with conditions of visual absence, such as darkness, uniform surfaces, and indeterminate space. Rather than documenting the external world, the work focuses on how computational imaging systems respond when visual input collapses and perception must be algorithmically inferred. Through a series of experimental photographic outputs, the project reveals sensor noise, compression artifacts, and algorithmic hallucinations as aesthetic material, exposing the hidden decision-making processes embedded within everyday imaging devices. By foregrounding these moments of visual instability, the project questions assumptions of objectivity, resolution, and clarity in digital vision. Positioned between artistic research and speculative media archaeology, the work invites viewers to consider machine vision as a subjective, interpretive system that actively shapes how reality is rendered, filtered, and remembered.