Industry 4.0

A major electronics manufacturer faced critical quality control challenges with manual PCB inspection, creating bottlenecks and inconsistent defect detection across complex circuit board designs. JashDS deployed a YOLO-V8-large based automated visual inspection system that reduced inspection time by over 80% while achieving 74% precision in defect classification, establishing robust detection capabilities across diverse production conditions and PCB complexity levels.

JashDS revolutionized a diesel engine manufacturer's assembly lines by implementing a pick-to-light system across 36 stations, resulting in a 25% increase in efficiency. The solution integrated real-time monitoring, inventory management, and asynchronous multithreading to optimize high-volume production processes.

JashDS implemented a Smart Connected Warehouse Management System for a leading edible oil manufacturer, addressing challenges in real-time visibility, inventory management, and operational efficiency. The solution incorporated 2D layout visualization, live reporting dashboards, and comprehensive analytics, resulting in improved warehouse efficiency, reduced stock aging, and enhanced decision-making capabilities across the client's operations.

This cybersecurity platform digital transformation showcases successful cloud migration and data modernization, where AI-powered schema mapping reduced database complexity by 95% while achieving zero-downtime migration. The comprehensive data migration security strategy transformed legacy infrastructure into a scalable cloud architecture, enabling real-time cybersecurity monitoring and compliance automation. Through intelligent ETL pipeline conversion and database consolidation, this cybersecurity solution delivered enhanced performance, reduced operational costs, and improved threat detection capabilities while maintaining business resilience throughout the digital transformation process.

An Industry 4.0 solution provider faced the challenge of processing vast amounts of machine-generated data for manufacturing insights. JashDS developed an AWS cloud-based data pipeline that ingested data from multiple devices, calculated fact tables, and provided API access, enabling real-time business insights and future data science applications.

JashDS helped a leading Indian automotive manufacturer reduce unplanned CNC machine downtime by 30% and achieve 25% maintenance cost savings. By implementing AI-driven predictive maintenance using real-time data analysis and machine learning algorithms, we optimized performance and extended machine lifespan.

JashDS developed a comprehensive IoT-based cloud platform for a medical device management company, enabling efficient monitoring and control of anti-microbial devices across multiple facilities. The solution incorporated real-time telemetry handling, advanced analytics, and a user-friendly mobile application, resulting in 50% improved operational efficiency and better forecasting accuracy.