Duos Technologies launches new AI-enabled automated inspection tools for rail network
Duos Technologies, Inc., has released six new artificial intelligence (AI) detection models for use with its Railcar Inspection Portal ("rip®" or "RIP") solution. All six models have been performing successfully in customer-owned environments for several weeks.
The new offerings are the latest additions to a growing catalog of automated inspection tools that allow railcar operators to detect a wide variety of defects such as the condition of air hoses, sill steps, hand brakes, wheels and uncoupling levers. Other detections relate to coupler heights and unsecured pneumatic unloader caps all of which are operational and safety components for freight railcars. These detections can help to reduce Line-Of-Road ("LOR") delays, a key metric for railroad operations.
Each detection model targets specific defects or anomalies on railcars as they pass through the RIP at track speed. Most of the models are focused on inspection points required by the Federal Rail Administration (FRA) and other regulatory agencies. These latest additions, for which several of the Company's Class 1 Railroad customers have expressed a need, also intend to address FRA inspection requirements.
Source: Duos Technologies