Problem

Our client, a manufacturing company, was facing challenges in monitoring their production process. They were using manual methods to track the production process which was time-consuming and prone to errors. The client wanted a solution that could automate the process and provide real-time data on production.

We identified that the client needed an IoT-based solution that could monitor the production process in real-time and provide insights into the performance of each machine. Additionally, they needed a web application that could display this data in an easy-to-understand format.

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Solution

We proposed an IoT-based solution that involved installing sensors on each machine to collect data on its performance. This data was then transmitted to a central server where it was processed and analyzed using machine learning algorithms. We also developed a web application that displayed this data in real-time, allowing the client to monitor their production process from anywhere.

To ensure the accuracy of the data collected by the sensors, we conducted extensive testing using selenium automation testing. We also used react js and react native to develop hybrid applications for mobile devices, providing additional flexibility for our client's team.

Impact

Increased efficiency of production process by X%
Reduced downtime by X hours per week
Improved overall equipment effectiveness (OEE) by X%

"This solution has revolutionized our production process and allowed us to make data-driven decisions in real-time. We are extremely satisfied with the results and would recommend this solution to anyone looking to improve their manufacturing process."

Team

John Smith - IoT Engineer
- Designed and implemented the sensor network
- Developed machine learning algorithms for data analysis
Jane Doe - Full Stack Developer
- Developed the web application using react js
- Created hybrid applications using react native

IoT Solution Boosts Manufacturing Efficiency