Supply Chain Design & Controlling
In logistics a lot of time is spent on identification (scanning) of products, packages, pallets etc. and on checking quantities or exchanging falsely picked products due to high error rates caused by manual identification.
Logivations set its goal to minimize the time spent on object identification and to reduce error rates to achieve a significant efficiency increase.
Logivations included Deep Machine Learning technology in the Logistics and Supply Chain optimization tool W2MO.
The camera based identification station can be set up for various processes in the warehouse to identify, check or count certain objects
The possible use cases of this technology are infinite. Another example is checking products, when they are already stored in their cases. Logivations Deep Machine Learning enables checking several products at the same time. Therefore the total packaging list can be compared to the visible products, when an identification station is being setup with a camera pointing towards the filled box from a bird eye view.
You can see an example of the camera based identification station in the following Video, which shows the comparison to regular scanning:
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