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Mathieu Lory
Mathieu Lory

Posted on • Edited on • Originally published at internetcollaboratif.info

Combining OpenAI and AI-Flex (from t6 IoT) to Customize Sensor Outputs

AI-Flex is a game-changing feature within the t6 IoT platform, enabling users to enhance sensor data processing by integrating OpenAI’s advanced language understanding capabilities. Designed to work seamlessly with t6 IoT's ability to collect various sensor measurements (e.g., integers, booleans, floats, and text-based inputs), AI-Flex empowers users to refine, enrich, and add context to raw data for smarter workflows.

Example Use Case: Refining Text-Based Measurements

Text-based sensor outputs often need to be cleaned or standardized for effective use. For instance:

  • Input: She no went to the market.
  • Output: She did not go to the market.

AI-Flex processes such text through OpenAI, using predefined prompts to return a clear, grammatically correct version. This refined text can then substitute the original data and feed directly into subsequent workflow actions.

Supporting All Measurement Types

AI-Flex doesn’t stop at text. Its integration within t6 IoT’s Rule Engine enables automation and intelligent processing for other data types:

  • Integers/Floats: Add AI-generated interpretations or context (e.g., "Temperature: 25°C" becomes "Temperature is optimal for plant growth.").
  • Booleans: Combine binary data with AI-driven messages (e.g., "Status: True" becomes "Device is active.").
  • Text: Standardize and enhance language-based inputs for seamless automation.

Workflow in t6 IoT

  1. Input Collection: Sensor data is gathered in t6 IoT.
  2. AI Processing: AI-Flex uses OpenAI to process, interpret, or refine the data.
  3. Substitution: AI-generated responses replace the raw input, enriching it with context or clarity.
  4. Automation: The refined data triggers customized actions, such as notifications, device activations, or MQTT topic publications.

Benefits for t6 IoT Users

  • Data Enrichment: Turn raw sensor data into actionable insights.
  • Workflow Flexibility: Tailor OpenAI’s capabilities to suit different sensor types and scenarios.
  • Enhanced Automation: Improve decision-making and response accuracy across IoT systems.

With AI-Flex, t6 IoT users can go beyond basic automation, leveraging advanced AI to transform and contextualize sensor measurements for smarter, more dynamic workflows.

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