Intercomp is proud to announce exciting new updates for their LS-WIM Weigh-in-Motion Axle Scale Systems. Known for being a more efficient and cost-effective alternative to older full size truck scales, American-made LS-WIM scale systems now feature a new purpose-built indicator further solidifying LS-WIM scale systems as the preferred solution for a variety of truck traffic applications.

A key factor in designing the new LS20™ indicator was the LS-WIM scale’s ability to weigh axle-by-axle dynamically (in-motion) AND statically. The LS20 features an easy-to-read LCD display and intuitive keypad design, and can be mounted where it allows drivers to enter and save 250 unique truck IDs complete with tare weights, individual axle weights and total gross weight. Internal memory stores up to 1,500 weigh records and the data can be exported via a USB drive or RS232 serial output creating a complete, automated manned or unmanned weigh station.

LS-WIM Axle Scales have been successfully used around the world for over 10 years and feature NTEP certified strain gauge load cell technology; the same type of load cells used in full-length truck scales, but require a much smaller footprint and are far more cost-effective to purchase, maintain and install. Additionally, these compact, American-made axle scale systems feature a removable deck for ease of maintenance.

“A key benefit of this system is that it allows users to collect individual axle weights to identify overweight axles or monitor inventory levels in entry/exit gate applications,” said Aaron Van Heel, General Manager of Marketing at Intercomp. “New components like the LS20 indicator create a complete system package for a larger variety of applications, including automating remote operations,” he continued.

“Intercomp’s Axle Scale System can also be tied in with an optional outdoor wireless printer and a LED Display scoreboard with an integrated stop and go light.

Additionally, IntercompWIM software is available to further automate the weighing process for long term data collection and analysis,” Van Heel concluded.