Spotlight Projects

Explore our latest breakthroughs and how they are reshaping industrial landscapes.

Case Study

Vision-Based Steel Coil Inspection

Deployed deep learning–based computer vision on hot and cold rolling lines to detect surface defects on steel coils in real time, integrated with existing PLC control systems.

Technologies

Computer VisionDeep LearningEdge AIIndustrial Automation

Impact

40% reduction in manual inspection effort and significant scrap reduction in continuous production lines.

Pilot Project

Adaptive Production Line Optimization

Built a real-time analytics and optimization layer for a multi-stage manufacturing line, continuously tuning process parameters based on live quality and throughput metrics.

Technologies

Predictive AnalyticsTime-Series ModelingReal-Time ControlOptimization

Impact

Up to 12% throughput increase and 8% reduction in off-spec product across the pilot line.

Research Paper

Self-Healing Smart Grid Control

Developed reinforcement learning agents that dynamically reroute power flows in distribution networks to isolate faults and maintain service during local failures.

Technologies

Reinforcement LearningSmart GridPower SystemsNetwork Optimization

Impact

Simulated 45% reduction in outage duration and improved resilience to cascading failures in medium-voltage networks.

Innovation

Substation Condition Monitoring Platform

Aggregated IoT sensor streams from transformers, breakers, and busbars to perform anomaly detection and health scoring for high-voltage substations.

Technologies

IoT Sensor DataTime-Series AnalysisAnomaly DetectionCloud Analytics

Impact

Enabled condition-based maintenance, reducing unplanned interruptions by 20% in the monitored substations.

Case Study

Cross-Plant Predictive Maintenance Hub

Implemented a unified predictive maintenance platform aggregating vibration, temperature, and process data from multiple plants into a shared model library.

Technologies

Predictive MaintenanceMachine LearningIIoTCondition-Based Monitoring

Impact

30% reduction in critical equipment failures and better reuse of models across plants with similar assets.

Optimization

End-to-End Supply Chain Digital Twin

Built a digital twin of a multi-echelon supply chain to simulate demand surges, capacity constraints, and transport disruptions with AI-driven scenario planning.

Technologies

Digital TwinsSimulationSupply Chain OptimizationScenario Planning

Impact

Up to 18% reduction in inventory carrying costs while maintaining target service levels in stress-test scenarios.