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.
The camera based identification station can be set up for various processes in the
warehouse to identify, check or count certain objects
Camera based identification station: Automatic
realtime recognition and counting of all products by visual characteristics like size, shape,
barcode, color or certain text parts with cameras and intelligent algorithms!
FEATURES AND USE CASES
Objects (e.g. products, cartons, tools, or even animals) are identified fully
automatic without any scanning or manual interaction
Realtime visualization of results
Use cases through all processes from inspection at inbound logistics to fast
packaging at outbound
Fast camera based barcode localization, identification and reading replaces
manual scanning with a scanner
Up to 30% to 60% savings compared to older technologies like scanning or RFID
EXAMPLE SET UP IDENTIFICATION STATION: PACKAGING
Camera and recognition box installed at work station for packing, points towards detection zone
Training of algorithm with example images to learn patterns (trained use cases for
standard applications already available)
Automatic identification of the products and quantities by moving them through the
detection zone before putting them into the box / container.
The camera automatically finds any visible barcodes, reads them and identifies objects.
Automatic comparison with packaging list and immediate confirmation if the correct
products are used or notification in case of errors
Images are stored: useful for later visual verification or information of customers
Communication with other systems (WMS, SAP) for verification
EXAMPLE SET UP IDENTIFICATION STATION: CHECK FOR COMPLETENESS
The possible use cases of this technology are infinite. Another example is checking
they are already stored in their cases. Logivations Deep Machine Learning enables checking
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
from a bird eye view.
TECHNOLOGY AND BACKGROUND
Intelligent Machine Learning algorithms for object recognition in pictures/videos
Significantly lower hardware costs of high-resolution cameras, tablets/smartphones
Enormous increase in computing power during recent years (GPU computing)
Integration into warehouse management systems, standard Interface to SAP available
Algorithm is trained on sample images then automatically extracts (“learns”) required
Logivations Deep Machine Learning can be used for fast and robust detection with
You can see an example of the camera based identification station
in the following Video, which
shows the comparison to regular scanning: