The ifm mate assistance system supports workers with manual processes in production or at packaging workstations. Equipped with an optical 2D/3D cam-era, it identifies the operator’s hands and detects, for example, whether the operator has reached inside a box. The recognition of the hand, which is based on powerful deep learning technology, is the key component of the system. Whether workers are right- or left-handed is just as irrelevant for recognition as the position of the hand. The assistance system consists of a computer with a touch screen, the software and a photoelectric sensor that captures both a 2D video image and a 3D image. Thanks to the hand recognition in the 2D camera image, ifm mate does not require any further accessories such as VR goggles or wrist trackers. This greatly increases operator comfort compared to other guidance systems, resulting in very high acceptance levels among workers.