A helpful property in screening potential perovskite crystal structures is their stability under relevant environmental conditions. For example, in solar panels, the lifetime of the perovskite semiconductor under given illumination conditions, humidity levels, and temperature are all deterministic of possible applications. To determine stability, the perovskite semiconductors were subject to an accelerated degradation chamber, and the three-channel RGB approximation of the color change of the sample was recorded as a proxy to sample stability. The chamber, pictured in Figure , maintains a uniform temperature, illumination, and humidity level around the samples, and obtains real-time images of the perovskite semiconductors every time step ∆t for a duration of time T resulting in Ω(∆t) images. The vision segmentation algorithm described in Algorithm 1 is applied to the first droplet image, Ω, to output the segmented locations and reflectance data, Φ, of each spatiallynon uniform sample across the duration of the experiment with a fixed camera position.