Haverford Chamber uses calibrated color change in perovskite crystals as a measure of their instability. bulk crystalline samples require a new image analysis pipeline to extract degradation data because (1) they are smaller than the thin films analyzed in the first generation chamber, (2) they do not entirely fill up the sample holder, and (3) their exact locations are variable. To address this challenge, the Haverford Chamber has an automated image acquisition pipeline implemented with OpenCV in Python. This pipeline uses computer vision to automatically isolate single crystal samples from the captured images and extracts their color change in RGB values over time (Figure ). This process is very useful for small samples, as the chamber can isolate them from the scene and mask the extraneous pixels.