Abstract: Disclosed are various embodiments for automated pill identification using lighting devices and machine learning routines. A computing device may selectively control illumination of a pill provided at an imaging position by a pill dispensing system. The computing device may direct an imaging device to capture image data of the pill during illumination of the pill. Also, the computing device may generate a digital fingerprint of the pill and determine an identity of the pill based at least in part on a comparison of the digital fingerprint to a digital fingerprint library. A machine learning routine may be applied to improve future detection of the identity of the pill.

Abstract: Disclosed is an apparatus for sorting capsules of hard or soft gelatin, starch or another material, for faultless and faulty capsules. In the apparatus, capsules are first fed from a supply container holders in a control station, then conveyed in the capsule holders through individual control positions in the control station where they are observed using cameras. The images acquired by the cameras are evaluated to determine production faults in the capsules. The faulty capsules are finally ejected from the control station separately from faultless capsules.