$1.10 trillion
Anticipated Global Market for IoT-connected Machines by 2031
15.4%
Anticipated CAGR for IoT machine market
$1.5 trillion
Global Apparel Market in 2021 (in USD)
EXECUTIVE SUMMARY
TensorIoT built a powerful connected system using SmartInsights on AWS that allows the customer to gain deep insights into production data and automate product quality testing.
GOAL
How can you use automation and machine learning to facilitate a performance data processing and analysis, making the results accessible to multiple stakeholders?
RESULTS
The client machines automatically collect and analyze live production data 24/7, displaying production performance via easy-to-understand visuals. Easy error correction ensure continuous operations and consistent product quality.
Background
The client is a well-known maker of large scale specialty manufacturing equipment used in the textile and garment industries. With tens of thousands of machines globally, the client wanted to help their customers operate machines at maximum efficiency. However, the client's existing system provided no visibility into machine operations and relied on manual testing and calibration data being recorded in a spreadsheet.
The Challenge
The client needed a robust scalable system that would allow their staff and the customers using their equipment clear visibility into production practices in order to reduce errors and support continuous operations at peak efficiency. TensorIoT built a powerful connected system on AWS that allows the customer to provide insights into production data and automate product quality testing.
The Solution
The machine maker deployed TensorIoT SmartInsights to automate the process of ingesting, visualizing, and analyzing production data, including automated product quality testing data. The solution provides an integrated view of all primary machine operations so that operators can monitor and tune machine performance as needed.