Work Overview:

Engineered an IoT-based manufacturing monitoring and optimization system for a large industrial manufacturer to improve efficiency and reduce downtime.

Objectives:

1. Implement real-time monitoring of production equipment and processes
2. Develop predictive maintenance capabilities using machine learning
3. Create a centralized control system for production optimization

Scope of Work:

Delivered a comprehensive solution including:

• IoT sensor network deployment
• Real-time data collection and processing infrastructure
• Machine learning models for predictive maintenance
• Custom dashboard for production monitoring
• Mobile alerts and remote management capabilities
• Integration with existing ERP systems
• Documentation and operator training

The system reduced equipment downtime by 37% and increased overall production efficiency by 25%.

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