How to do modern warehouse management

Intralogistics Accelerated By Machine Vision

Growing speed, complexity, and throughput requirements make intralogistics a key area for automation. Machine vision enables fast and reliable product identification, traceability, quality inspection, and robotic handling—across warehouses, fulfillment centers, and automated distribution processes.

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Flexible identification and handling in automated intralogistics

Goods may carry barcodes, 2D codes, characters, engravings, or printed symbols; in many cases, they can also be identified without labels using Deep Learning based on visual texture or color features.

With MVTec software, warehouses and intralogistics systems can automate identification, de-palletizing, sorting, storage, picking, packing, and outbound processes. Machine vision provides the accuracy and flexibility needed to scale operations, reduce manual effort, minimize errors, and support fully automated warehouses.

How machine vision supports each step of the intralogistics chain

1. Goods Receipt
2. Prepare for storage
3. Storage
4. Retrieving
5. Commissioning
6. Delivery
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1. GOODS RECEIPT

Identification, De-palletizing & Quality Check

Incoming products often arrive in boxes on pallets. Machine vision identifies items, analyzes surface properties, and determines how robots should handle them—solid vs. soft surfaces, orientation, position, and texture.

  • 3D vision detects the position of products for robot-guided de-palletizing.
  • 2D and 2D smart cameras read barcodes and 2D codes for item identification.
  • Inspection algorithms detect transportation damage and determine size and volume for later storage steps.
2. PREPARE FOR STORAGE

Unpacking, Identification & Completeness Check

Before items enter storage, they must be inspected and verified.

  • A 2D camera captures the opened box.
  • Identification can be performed via 2D codes, OCR, or Deep Learning (when items have no readable labels).
  • Completeness and quality of delivered goods are checked automatically.
Download our free Whitepaper
Learn how to solve common problems with bar code reading

Barcodes are a core enabler of automation and innovation in intralogistics. They drive identification, tracking, and routing in warehouses and distribution centers. In practice, however, many systems struggle with hard-to-read codes due to low contrast, damaged labels, challenging surfaces, or unfavorable perspectives.

3. STORAGE

Detecting Free Shelf Space & Recording Locations

Efficient storage requires awareness of available shelf locations and space conditions.

  • Deep Learning identifies empty shelf slots.
  • Mobile robots equipped with cameras capture images and map available storage areas.
  • Machine vision determines the size, coordinates, and accessibility of each slot.
4. RETRIEVING

Locating & Picking Items For Outbound Processes

For order fulfillment, stored goods must be found and collected.

  • Deep Learning identifies the correct products on shelves.
  • 3D sensors determine gripping positions for robotic arms.
  • Combining Deep Learning with 3D vision enables fully automated, reliable retrieval workflows.
5. COMMISSIONING

Measuring, Labeling & Packaging

Before packaging, items undergo a final quality and identity check.

  • Machine vision measures size and volume for optimized packaging.
  • A vision system verifies which products are inside the carton.
  • A barcode printer generates labels; machine vision ensures the printed 2D codes meet quality and readability standards.
6. DELIVERY

Palletizing & Goods Issue Inspection

Machine vision ensures that packed goods are ready for outbound handling.

  • Volume information defines how many boxes can be palletized.
  • 3D data determines stacking patterns and robot coordinates.
  • Outbound quality checks reduce return rates and shipment errors.

MACHINE VISION IS KEY

Technologies For Intralogistics

Surface-based 3D Matching & Generic Box Finder

Bar Code & 2D Code Reading

Optical Character Recognition (OCR)

 

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SUCCESS IS ADDICTIVE

Our Customers' Success Stories

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Intelligent Image Recognition for Automotive Logistics
An intelligent, database-based image recognition system supports order picking in automotive logistics. It shows staff the correct component, uses cameras to verify that packaging is ready for shipment, and enables seamless documentation. The solutio…
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Robot depalletizing cartons layer by layer using machine vision in a logistics environment.
Machine vision automates order picking in intralogistics
The company Cretec Cybernetics implemented a robot-based depalletizing solution in order picking using the MVTec HALCON machine vision software. The application is able to recognize stacked boxes on pallets and depalletize them accordingly.
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Superior matching technology and robust object detection enables the automation of the return flows of crates
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Packages with handwritten labels used for OCR-based identification in a warehouse logistics system.
Individual Packet Identification System for Handwritten Characters – Eckelmann
Eckelmann AG from Wiesbaden, Germany, has modernized the stock receipt of a big warehouse based on powerful standard components.
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Cameras capture coffee capsules – Seidenader
Seidenader uses HALCON and high-speed cameras to inspect coffee capsules before and after filling. Damaged or improperly sealed capsules are detected within seconds and automatically rejected.
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Vision System Simplifies Robotic Fruit Picking – ACRO Institute
The ACRO Institute developed a mobile apple-picking robot equipped with a camera inside the gripper and MVTec HALCON image processing software. The robot identifies ripe apples, calculates their position, and performs precise gripping movements. This…
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Machine Vision on Assembly Line: the Roboworker Super Robot Feeder
Since more than 15 years, ROBOWORKER Automation GmbH (Weingarten, Germany) is specialized in developing and producing systems for automatic handling, assembly and checking of workpieces as well as robot-aided loading and unloading of production machi…
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Package label with barcode and printed text used for automated barcode reading and OCR.
Machine Vision Speeds Package Bar Code Reading at Quelle GmbH
At Quelle GmbH's logistics center in Leipzig, 80,000 packages are processed daily. To enhance efficiency, the company employs a combined machine vision system with barcode reading and OCR. Utilizing Baumer i-Cam 108 cameras and MVTec's HALCON softwar…
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Machine Vision Solves "Needle-in-a-haystack" Problem for Small Parts Manufacturer, Developed by Data Systems
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