We selected two process examples that present realistic scenarios requiring visual control and posing challenges to our CV system due to additional visual elements. The first example was the slurry solvent exchange distillation (Figure ), which involved solid residue formation and adherence to the reactor wall. The second example was constant volume antisolvent crystallization (Figure ), which included the transformation from a homogeneous to a heterogeneous system, solid precipitating out of solution, and residue adhering to the reactor wall. Earlier CV systems, which are often based on image analysis by edge detection, fail to accurately capture the reactor liquid level in the presence of complex and changing image elements (e.g., glare and partial obstruction of view caused by solid residue buildup). Therefore, these tests were conducted to demonstrate HeinSight2.0's ability to adapt to complex dynamic changes in the experiment.