ifm
Based on deep learning
The ifm mate digital assistance system from ifm supports workers with manual tasks in production or at packaging workstations.
Using an optical 2D/3D camera, it identifies the worker's hands and thus recognizes whether a box has been reached into, for example. The central component of the system is hand recognition based on deep learning technology. The assistance system consists of a computer with a touch monitor, the software and an optical sensor that records both a 2D video image and a 3D image. Thanks to hand recognition in the 2D camera image, the worker assistance system from ifm does not require additional aids such as VR glasses or wrist trackers.
The work processes can be flexibly defined in the software. For example, it is possible to specify whether the sequence of steps should be predefined or whether they can be carried out in any order. The system then checks whether the work sequence has been carried out correctly and displays any deviations on the monitor. A combined visual and acoustic signal transmitter is available as an option, which alerts the worker to errors directly in the field of vision.
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