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Eckelmann Presents AI Vision Systems for Logistics at LogiMAT 2026
Camera-based systems automate counting, inspection, and tracking of palletized goods in logistics depots and production environments.
www.eckelmann.de
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Vision systems for automated logistics and production environments
In logistics depots, manufacturing plants, and intralogistics facilities, handling large volumes of palletized goods often requires accurate counting, quality inspection, and traceability. Automated industrial image processing systems are increasingly used to replace manual verification processes that are slow and prone to error.
Eckelmann, a system integrator specializing in camera-based industrial image recognition, develops automation solutions designed to capture and analyze goods automatically during logistics operations. At LogiMAT 2026 (March 24–26, Stuttgart, Hall 6, Booth 6F72), the company is demonstrating several systems designed for automated counting, inspection, and tracking of products in logistics depots and production facilities.
These solutions are part of the Eckelmann FactoryWare® Vision Products portfolio, which combines camera hardware, image processing software, and automation interfaces to integrate into logistics and manufacturing workflows.
Automated counting of palletized goods
A key system presented at the exhibition is the E°CD Series (Counting & Detection), designed to automate the counting and identification of stacked goods on pallets. The system uses pairs of camera-equipped columns forming a compact counting gate that captures pallet loads as they pass through.
The system can recognize and count reusable load carriers or packaging units such as cartons, bags, and containers stacked on pallets. Typical examples include food containers, fruit and vegetable crates, bakery trays, as well as industrial goods such as bricks, glass panels, or wooden boards.
By validating whether palletized goods correspond to shipping or delivery data, the system supports automated goods receipt and dispatch verification. The gate is dimensioned to fit standard truck door widths and can be installed directly at loading and unloading points in logistics depots.
In addition to counting products, the system can detect structural issues in pallet stacks, such as damaged or irregular loads.
AI-supported image processing for complex environments
The Vision Products platform combines traditional machine vision algorithms with AI-based recognition modules. These tools allow the software to detect product-specific characteristics even under complex conditions such as mixed pallet loads or varying packaging shapes.
Because the system software is developed in-house, it can be adapted to different product designs, industry requirements, and operating environments. The recognition results are automatically documented and transmitted to external systems such as ERP platforms or document management systems.
This integration enables automated inventory validation and digital documentation without manual data entry.
Inspection systems for automated quality control
Another system family presented at LogiMAT is the E°CI Series (Counting & Inspection), designed for automated inspection and quality control within logistics or production processes.
The system performs 100% inspection of reusable containers and pallets used in industries such as food processing and packaging logistics. It can detect defective, contaminated, or foreign containers during conveyor transport and trigger automated sorting or rejection processes.
Because the inspection unit integrates directly into existing conveyor systems without modifying their control logic, it can be installed in automated logistics lines with minimal changes to existing infrastructure.
Traceability through automated product tracking
For applications requiring product traceability, Eckelmann offers the E°CT Series (Counting & Tracking). The system captures and tracks product identifiers such as 1D and 2D codes even when objects move rapidly and are positioned closely together.
This capability enables digital traceability across production and logistics processes. Tracking data can be transmitted through network or internet connections, allowing remote monitoring and maintenance.
Such systems are increasingly used in industries where product tracking and regulatory documentation are essential, including food processing, packaging logistics, and industrial manufacturing.
Vision systems for high-volume logistics operations
Automated counting, inspection, and tracking systems help logistics operators handle increasing throughput while reducing manual verification tasks. By combining image recognition, AI-based analysis, and integration with IT systems, machine vision solutions support more efficient goods handling and digital documentation across logistics depots and production environments.
At LogiMAT 2026, Eckelmann demonstrates how its Vision Products systems can be deployed as standalone solutions or integrated modules within automated logistics lines, enabling scalable automation for high-volume industrial operations.
www.eckelmann.com
Vision systems for automated logistics and production environments
In logistics depots, manufacturing plants, and intralogistics facilities, handling large volumes of palletized goods often requires accurate counting, quality inspection, and traceability. Automated industrial image processing systems are increasingly used to replace manual verification processes that are slow and prone to error.
Eckelmann, a system integrator specializing in camera-based industrial image recognition, develops automation solutions designed to capture and analyze goods automatically during logistics operations. At LogiMAT 2026 (March 24–26, Stuttgart, Hall 6, Booth 6F72), the company is demonstrating several systems designed for automated counting, inspection, and tracking of products in logistics depots and production facilities.
These solutions are part of the Eckelmann FactoryWare® Vision Products portfolio, which combines camera hardware, image processing software, and automation interfaces to integrate into logistics and manufacturing workflows.
Automated counting of palletized goods
A key system presented at the exhibition is the E°CD Series (Counting & Detection), designed to automate the counting and identification of stacked goods on pallets. The system uses pairs of camera-equipped columns forming a compact counting gate that captures pallet loads as they pass through.
The system can recognize and count reusable load carriers or packaging units such as cartons, bags, and containers stacked on pallets. Typical examples include food containers, fruit and vegetable crates, bakery trays, as well as industrial goods such as bricks, glass panels, or wooden boards.
By validating whether palletized goods correspond to shipping or delivery data, the system supports automated goods receipt and dispatch verification. The gate is dimensioned to fit standard truck door widths and can be installed directly at loading and unloading points in logistics depots.
In addition to counting products, the system can detect structural issues in pallet stacks, such as damaged or irregular loads.
AI-supported image processing for complex environments
The Vision Products platform combines traditional machine vision algorithms with AI-based recognition modules. These tools allow the software to detect product-specific characteristics even under complex conditions such as mixed pallet loads or varying packaging shapes.
Because the system software is developed in-house, it can be adapted to different product designs, industry requirements, and operating environments. The recognition results are automatically documented and transmitted to external systems such as ERP platforms or document management systems.
This integration enables automated inventory validation and digital documentation without manual data entry.
Inspection systems for automated quality control
Another system family presented at LogiMAT is the E°CI Series (Counting & Inspection), designed for automated inspection and quality control within logistics or production processes.
The system performs 100% inspection of reusable containers and pallets used in industries such as food processing and packaging logistics. It can detect defective, contaminated, or foreign containers during conveyor transport and trigger automated sorting or rejection processes.
Because the inspection unit integrates directly into existing conveyor systems without modifying their control logic, it can be installed in automated logistics lines with minimal changes to existing infrastructure.
Traceability through automated product tracking
For applications requiring product traceability, Eckelmann offers the E°CT Series (Counting & Tracking). The system captures and tracks product identifiers such as 1D and 2D codes even when objects move rapidly and are positioned closely together.
This capability enables digital traceability across production and logistics processes. Tracking data can be transmitted through network or internet connections, allowing remote monitoring and maintenance.
Such systems are increasingly used in industries where product tracking and regulatory documentation are essential, including food processing, packaging logistics, and industrial manufacturing.
Vision systems for high-volume logistics operations
Automated counting, inspection, and tracking systems help logistics operators handle increasing throughput while reducing manual verification tasks. By combining image recognition, AI-based analysis, and integration with IT systems, machine vision solutions support more efficient goods handling and digital documentation across logistics depots and production environments.
At LogiMAT 2026, Eckelmann demonstrates how its Vision Products systems can be deployed as standalone solutions or integrated modules within automated logistics lines, enabling scalable automation for high-volume industrial operations.
www.eckelmann.com
