TensorFlow

Overview

TensorFlow is an open-source platform for machine learning that enables the development and deployment of AI models across diverse environments. By integrating TensorFlow into FLECS, users can take full advantage of powerful AI capabilities within their industrial automation systems.

Key Benefits

1. Enhanced AI Capabilities: Leverage TensorFlow to incorporate artificial intelligence into automation workflows. This allows for tasks like predictive maintenance, quality control, and smart decision-making, transforming your operational technology (OT) into a smarter and more efficient system.
2. Flexible Deployment Options: TensorFlow allows you to train machine learning models in the cloud and easily deploy them at the edge. This flexibility ensures that the AI is applied precisely where it is needed, whether on-premises for low latency or centrally in the cloud.
3. Seamless Integration: Integrating TensorFlow with FLECS means AI models can be implemented with ease. The app bridges the gap between traditional automation processes and cutting-edge AI technology, optimizing industrial operations and making them more productive.

Use Cases

• Predictive Maintenance: Use TensorFlow to anticipate machine failures before they happen, minimizing downtime.
• Quality Inspection: Automate quality control processes using visual or sensor data, enhancing consistency.
• Intelligent Decision-Making: Analyze data in real time to make smarter, more informed operational decisions.

Installation Instructions

The TensorFlow app generates a token upon its first startup, which is required for initial login through the web interface. Follow these steps for installation:

1. Start the TensorFlow app for the first time.
2. Locate the generated token by navigating to the information section (i) and selecting "Log." Copy the token from the log.
3. Go to the web interface and enter the token along with a new password of your choice.
4. From that point onward, use the chosen password to authenticate with the app.