Machine Vision Systems in Intralogistics Automation

[Erkan Teskancan]

## Machine Vision Systems in Intralogistics Automation

At LogiMAT 2026, members of the European Machine Vision Association (EMVA) will showcase camera systems, edge AI, and lighting technologies that support automated warehouse and robotic operations.

Machine vision technologies are growing at the heart of automation in warehouses. Autonomous guided vehicles (AGVs), autonomous mobile robots (AMRs), robotic picking systems, and automated forklifts require reliable machine vision to perceive and process products. This technology enables critical tasks such as barcode recognition, localization, measurement, and robotic manipulation.

### Highlights at the EMVA Booth

• Camera, lighting, and industrial computing solutions come together to form the sensing layer in modern intralogistics automation.
• Advantech will demonstrate NVIDIA-based edge computing, machine vision, and robotic integration.
• IDS's Nion 3D camera offers high-precision picking, classification, and handling solutions with depth data.
• iiM and Smart Vision Lights will introduce advanced lighting systems for inspection at speeds up to 100 per second.
• Murrelektronik offers a modular and plug-and-play cabling infrastructure for multi-camera networks.
• Neousys will showcase NVIDIA Jetson-based rugged AI computers and compact industrial PC solutions.
• Teledyne will exhibit 3D stereo vision systems for high-speed in-motion measurement and inspection.

### Technical Specifications

• Nion 3D Camera: 1.2 MP time-of-flight sensor, IP67 enclosure, 940 nm laser illumination
• LUMIMAX® Series: Light intensity up to 1 million lux, integrated control electronics
• Lightgistics Series: High brightness without flicker with Hidden Strobe™ and Dual OverDrive™ technologies
• Edge AI Platforms: NVIDIA Jetson-based, real-time processing reducing latency
• Teledyne 3D Stereo System: Fast pallet measurement, length, width, height

Machine vision systems enable highly efficient intralogistics operations by integrating recognition, measurement, monitoring, and automated processing in logistics.