Camera-based identification solutions in logistics

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!


  • Objects (e.g. products, cartons, toolsand even animals) are automatically identified. No scanning or manual interaction
  • Realtime visualization of results
  • Possible 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
  • Savings between 25% and 35% possible compared to traditional technologies such as scanning or RFID
  • Ideal interaction with the W2MO Case Pack functionalities: Optimized packing, 3D packing scheme, etc.
  • Direct quality control and documentation by image of the goods after opening / before closing the carton or container
  • Fully integrated into the W2MO-Logistics Suite: direct use of timestamps to calibrate your warehouse simulation and calculate logistics services & value-added services

Example set up identification station: packaging

  1. Camera and recognition box installed at work station for packing, points towards detection zone
  2. Training of algorithm with example images to learn patterns (trained use cases for standard applications already available)
  3. 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. Multiple products can be generated simultaneously.
  4. Automatic comparison with packaging list and immediate confirmation if the correct products are used or notification in case of errors. Visual and acoustic feedback.
  5. Images are stored: useful for later visual verification or information of customers
  6. Communication with other systems (WMS, SAP) for verification


Logivations revolutionary identification technology can be used for an automatic product recognition and direct booking. For this purpose, identification gates can be set up at any station in the warehouse. For example, the entire load of a pick cart can be automatically detected and identified right when it is passing through an identification gate. It is not necessary to stop the transporter even at higher speeds, the objects can be identified with high safety. The camera finds and recognizes all the barcodes or products / cartons and displays the linked object information either on a control screen or forwards it directly in real time via the W2MO interface to the warehouse management system for fully automatic booking of the goods. The resulting video documentation also enables complete traceability.

The following video shows the identification gate in practice:

All pallets and cartons of a delivery can be identified in only one step at the inbound station and will automatically be booked after the approval. Rotary PTZ cameras can be used to identify multiple objects from larger distances simultaneously. The identification algorithm controls them fully automatically. The camera recognizes labels automatically and zooms to the ideal recognition distance to read the barcode on it and moves automatically to the next label after the recognition.

This can be seen in the following video-sample as a part of the case identification:

The automatic goods recognition and booking brings numerous advantages. Manual efforts are reduced to the minimum, the throughput time drops considerably by identification in the ongoing process, productivity and process reliability increase enormously.

Training of deep learning algorithms

The reading of barcodes is already included in Logivations camera-based object identification solutions and can be used directly after the installation. If the objects have to be additionally distinguished or identified based on their visual characteristics without labels or barcodes, the intelligent deep machine learning algorithm comes into play.

Logivations trains them with images of the relevant objects and alternatively offers its customers rotating "learning platforms" with whom they can train the products themselves in the relevant perspectives. With the help of artificial intelligence, the algorithm indicates by itself whether additional images have to be taken or whether detection rates of over 99% can already be achieved. Even with minor damages, the products are reliably recognized after learning, since the trained images are composed of individual recognition features. This also leads to a secure identification, even if not all the elements are present or partially hidden as on the following picture:

The capture of the product images is completely automatic and is completed after a few seconds. The following processing by Logivations W2MO Deep Machine Learning is completed as a rule within 10 minutes (even while training multiple products).

This revolutionary user-friendly training of the new objects without barcodes is demonstrated in the following video with some sample products:

In case there are no further distinguishing features, it is also possible to read the text modules for clear recognition - which can be used in object identification projects.

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