According to a report by the Center for Strategic & International Studies (CSI) in 2020, facial recognition accuracy works best when it is used to identify people against a clear, stable image like on a passport photo. In such situations, the accuracy rate is 99.97%, putting the error rate at just 0.03%.
When used against photos taken in real-world situations, such as in a grocery store, the error rate climbs to 9.3%. It further increases if people aren’t looking straight at the camera or are partially obscured by shadows or other objects.