Copyright 2020: Allied Catawba, Inc. All rights reserved.
 

AClogofinalreduced2words

Both in concert with IAVO and independently, Allied Catawba is working on an ever-evolving portfolio of solutions that utilize computer vision (CV), artificial intelligence (AI), and machine learning (ML) innovations as their core processing engines.

 

vRAMMS

Allied Catawba is presently building the prototype vRAMMS (Vision Railroad Auditing, Maintenance, and Management System). vRAMMS provides a full-systems thrust for automatically collecting, analyzing, and recommending railroad track support infrastructure, focused primarily on ensuring railroad signage remains compliant with quality and control requirements.

vRAMMS offers a full system emphasis and goes well beyond merely imagery collection and analysis. Example aspects include: CV and AI, maintenance recommendations, support to rail maintenance/logistics management, and support to rail supply (and asset) management.

In short, vRAMMS provides a coherent pathway to integrate advancements in automated vision systems with traditional rail maintenance and management infrastructures.

vRAMMS provides automated abilities to: collect images of railroad signage (i.e., signage used in support of train operations), day or night; upload the images to the Cloud for processing, storage, and archiving; use CV and AI/ML to automatically assess sign status (e.g., damaged vs. not damaged); and thereafter interface with railroad maintenance, logistics, and management systems.

vRAMMS combines the following themes:

AClogofinalwords1 Banner1w1065

Innovations and Prototype Solutions