11+ AI systems are already deployed in production across SAIL steel plants, including Bhilai Steel Plant (BSP), trained on 50M+ real industrial failure events. Our platform combines computer vision, a connected SaaS layer and custom embedded edge devices to improve safety, quality and throughput on the steel plant floor.
Computer vision continuously watches the rolling line for early signs of cobble formation, flagging the condition before it causes a stoppage or damages downstream equipment.
Built for 6-strand casters: contactless AI measurement drives precise, repeatable cut-to-length sizing, reducing material wastage from over- or under-cutting.
Contactless AI measurement of slab dimensions gives operators tighter, real-time quality control without manual gauging.
Vision-based bar counting replaces error-prone weight-based estimation, improving bundle count accuracy at the end of the line.
Automated monitoring of cradle and bundle formation reduces the manual tracking errors that come from watching this step by eye.
Slab-ID OCR combined with video analytics improves crane and C-Hook safety and removes the need for manual C-Hook tracking.
11-digit OCR automatically identifies wagons across the rail yard, removing manual logging at the gate.
Weighbridge analytics catch weight inaccuracies and prevent content theft, with overspeed detection and ANPR for vehicle safety within the plant campus.
Geo-fenced payloader and fleet tracking gives accurate, real-time visibility into vehicle movement and payloading across the site.
A single connected platform for centralized control and monitoring of plant lighting and connected infrastructure, with web and mobile access.
