Buckeye Mountain selects Janam RFID hardware

Written by William C. Vantuono, Editor-in-Chief

Janam Technologies LLC, a provider of rugged mobile computers that scan barcodes and communicate wirelessly, and Buckeye Mountain, a provider of mobile technology for the railroad industry, announced May 24, 2016 that Janam’s XM2-RFID for Rail mobile computer is a recommended mobile computing hardware for Buckeye Mountain’s Automatic Equipment Identification (AEI) Quick Read application.

Buckeye Mountain, which works closely with Class I railroads “to ensure they have a rugged and reliable solution to perform detailed railcar inspection and maintenance functions as well as asset tracking,” said it selected Janam’s XM2-RFID for Rail mobile computer “because its size, battery life, tag reading performance and computing power provide enormous improvements over what’s available in the market. The XM2-RFID for Rail is specially designed to read the unique AEI RFID tags required on all railcars in North America and used globally as well. It offers best-in-class read range and provides our customers with the power and performance needed to excel in freight and rail operations. With its integrated 1D/2D barcode scanner, the XM2-RFID for Rail provides a versatile solution that addresses virtually all data capture needs.”

“Janam’s XM2-RFID for Rail is exactly what the industry has been demanding, said Matthew D Hunter, Principle Sales, Buckeye Mountain. “It is small, lightweight, powerful and comes with a battery that runs all day long. Combined with our intuitive software, the XM2-RFID for Rail provides the flexibility and affordability needed to make AEI RFID reading technology more accessible to rail and freight operations of all sizes.”

Noted Janam Technologies CEO Harry B Lerner, “We enjoy working with partners that share our passion for disrupting the status quo in industries that crave innovative and cost-effective solutions. Our partnership with Buckeye Mountain focuses on helping rail organizations manage their operations more efficiently and more economically, with real-time access to business intelligence.”



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