Homegrown technology major HCL Technologies has made its Geospatial Linear Asset Management (GLAM) solution available on Microsoft Azure marketplace.
Designed for energy and utilities sector, the SaaS offering leverages aerial imagery (LIDAR, radar, satellite, optical or infrared data) with image analytics, deep learning and geospatial insights to transform traditional and costly methods of linear asset inspection.
GLAM taps into a deep learning platform built on top of a geographic information system, rapidly processing imagery and providing precise, real-time, actionable insights into linear assets such as pipes and transmission and distribution lines.
It eliminates the need for human inspection, thereby removing the errors and dangers associated with it.
The tech, Microsoft explains, can enable round-the-clock vegetation management, site assessment, better planned workflows and outage responsiveness – resulting in safe, consistent and reliable service delivery to end customers.
GLAM is a part of HCL’s broader IoT Works portfolio of end-to-end solutions, designed for asset-heavy industries.
IoT Works also includes solutions such as AR/VR assisted remote field services, decentralized feeder automation, utilities operational intelligence, and smart ADMS testing.
In the first quarter of current fiscal, FY 2021-22, HCL Technologies reported a 15.5% year-on-year increase in revenues to $2.7 billion.
Net income stood at $436 million with a 12.8% year-on-year growth.