We'll outline how Affectiva employs CNN-based approaches for the task of detecting individual facial movements (facial actions) from real-world data. Affectiva's mission is to humanize technology by bringing artificial emotional intelligence (emotion AI) to the digital world. Using computer vision and deep learning, Affectiva measures facial expressions of emotion. We'll discuss challenges encountered and advantages from using deep learning models as well as share experimental results. Models explored will include those trying to push accuracy as well as the tradeoff incurred in trying to run smaller models that can operate in environments with more constraints (such as mobile).