SPH Engineering has announced a new AI-driven analytics platform for industrial asset inspection.
A new entrant in the automated imagery analytics market, ATLAS offers a range of change detection features aimed at automating large-scale asset monitoring.
The platform can ingest orthophoto maps, UAV- or satellite-derived data with an interface to guide training the AI engine to recognise a set of objects of interest for measurement and analysis.
“Companies performing large scale drone inspections have to manually filter tens of thousands of images or analyse many hectares of orthophoto maps to identify data for decision-making. This applies to such industries as solar farms, wind turbines, utility inspections, road maintenance, pipeline monitoring, agriculture, and many others,” said Alexei Yankelevich, R&D Director of SPH Engineering.
“ATLAS offers enhanced analytical capability to enable drone inspection save days of manual processing.”
The platform can be deployed in the cloud or on-premises.
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