The latest generation of machine vision systems offers significant improvements by incorporating industrial Ethernet switches and other Ethernet devices. This enables direct communication between PLCs, robot controllers, PCs, and human machine interfaces (HMIs). However, there is still serial-based equipment, such as sensors, readers, cameras, and vision systems, that cannot be easily networked.
Furthermore, production processes often require the networking of multiple machine vision systems to distribute images throughout the production line. By establishing an industrial automation device infrastructure that facilitates mixed-model processing within machine vision systems, businesses can enhance flexibility, scalability, and reliability for operation in harsh production line environments.
- Industrial reliability to withstand harsh conditions, such as extreme temperatures
- Capability to connect legacy serial devices to TCP/IP network
- High bandwidth for high-level image data processing for applications, such as automatic pass/fail inspection
- 12-24VDC Low power voltage input support
- 10G SFP+ interface for high speed transmission, flexibility and scalability
- Effortless network deployment for power and data communications
- Product stability, longer MTBF and five-year warranty
The LMP-1002G-10G-SFP-24 is a 10 Gigabit managed industrial-grade switch with 8 PoE Ethernet ports supporting 1 Gigabit and complying with the 802.3af/at PoE standards. It also features two 10G SFP+ uplink ports for high-speed and high-expandability connectivity. In addition, the unique and redundant 24V power inputs comply with the majority of industrial environments. This switch enables more reliable visual-based inspection systems compared to previous solutions. By integrating the serial device server, STE-6104C-T-V2, as a bridge to connecting serial-based devices to IP-based Ethernet LAN, a well structured, reliable and scalable network can be easily formed, which enhances efficiency, productivity and overall operation performance for the machine vision systems.
