Determine Critical
Infrastructure.

GraniteNet Software is the turn-key AI platform fusing Asset Data Workflows, Cloud Computing, Mapping and Decision Making.

What are the CUES Defect Coding Services with AI?

CUES provides PACP 6 and PACP 7 coding services to carefully evaluate sanitary mainline pipelines so that field crew inspectors can complete work faster, reduce time on the streets, traffic detail costs, and avoid coding quality issues. Additionally, Engineers can focus on projects at hand to become proactive while ongoing inspections can continue to be carefully reviewed and coded using machine vision so that the Engineers can rely on consistent quality - and allow them to be less burdened and more efficient in executing engineering projects.

How does CUES deliver its Coding Service?

The Defect Coding As A Service (“DCAAS”) is most efficient when using the GraniteNet Cloud Hosted service because the Artificial Intelligence (“AI”) processing engine resides in the Cloud making it faster and easier to process large and often repetitive (daily) uploads of data. Using the GraniteNet WebSync product, CCTV inspections are transmitted wirelessly from the field to the Cloud when each inspection is stopped, making the upload process automatic and simple for the inspector. Also, data security is maximized from using secure encrypted data transmissions throughout the day, removing the danger of malware/ransomware being spread through portable drives plugged into the network.

Once the inspections are uploaded to the organization’s dedicated GraniteNet Cloud environment, they will be queued for processing by the “AI Machine”. There, the CUES’ proprietary AI engine and its machine learning algorithms will interrogate the video(s) and classify PACP defect codes associated to the frames within the video stream where the defects are located. After the AI machine has rendered its initial evaluation, each inspection is routed to a certified CUES PACP coder for final review and certification. Once approved, the coded inspections are provided to the customer for final review and acceptance.

Results of the service are made visible via the Web through real time dashboards presented to data managers so that they have visibility into progress and can review the work done. The service is that simple!