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CAN Converter Product List

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Ethernet to CAN Converter 'eCAN'

A super compact gateway converter that connects to the CAN bus via an Ethernet network and can send and receive CAN frames.

The eCAN, compatible with the CAN2.0A/CAN2.0B standards, supports communication speeds of up to 1 Mbps in the CAN segment and up to 100 Mbps in the Ethernet segment, and can be easily used through the integrated utilities eCAN View and eCAN Config in a GUI environment. eCAN provides TCP/UDP protocol and COM Redirector programs to assist in remote control, monitoring, and data communication of CAN devices connected via a network (TCP/IP), making it a versatile gateway converter that can be used without additional program modifications for connected devices. 【Features】 ■ Easy setup utility for Windows "eCAN Config" ■ Integrated utility for testing/monitoring "eCAN View" ■ Compatible with CAN2.0A/CAN2.0B ■ Application of protective measures against electrical shocks such as overvoltage and use of reliable components *For more details, please feel free to contact us.

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[For Heavy Machinery Control] ANA-CAN Converter A-CAN-DG-V4

TEXENSE's analog-CAN converter. Visualize the condition of heavy machinery via CAN.

In the construction industry, heavy machinery control requires the accurate digitization of analog signals from hydraulics, engines, and various sensors, and their transmission via CAN communication. To understand the operational status of heavy machinery and conduct efficient operations and maintenance, this data is essential. Conversion errors of analog signals and transmission delays can lead to decreased performance or failures of the machinery. The A-CAN-DG-V4 addresses these challenges and provides a solution for accurately understanding the condition of heavy machinery. 【Usage Scenarios】 * Monitoring the condition of heavy machinery such as hydraulic excavators, cranes, and bulldozers * Remote monitoring systems at construction sites * Collection of maintenance data for heavy machinery 【Benefits of Implementation】 * Efficient operations through visualization of heavy machinery operational status * Reduction of maintenance costs through failure prediction * Accurate operations based on data

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