Temperature Sensor Data Capture

Table of Contents

• Introduction
• Supported Combinations
• Hardware Requirements
• External Connections
• Dependencies
• Steps to Run the Example
• See Also
• Sample Output

Introduction

This example demonstrates temperature sensor data capture for building datasets used in training machine learning models. It streams temperature readings to Edge AI Studio for dataset collection.

The following mode is supported:

• Live Capture: Streams temperature readings to build datasets for training custom models

Supported Combinations

Parameter	Value
CPU + OS	r5fss0-0 nortos
Toolchain	ti-arm-clang
Board	am263px-lp
Example folder	examples/ai/temp_sensor_data_capture/

Hardware Requirements

• TIDA-010997 Edge AI Sensor Boosterpack

External Connections

• Mount TIDA-010997 Edge AI Sensor Boosterpack on BoosterPack Headers Site 1 (J1/J3 and J2/J4).

Dependencies

• Edge AI Studio for data capture
• Compatible temperature sensor hardware

Steps to Run the Example

• When using CCS projects to build, import the CCS project for the required combination and build it using the CCS project menu (see Using SDK with CCS Projects).
• When using makefiles to build, note the required combination and build using make command (see Using SDK with Makefiles)
• Connect the sensor hardware as described in External Connections
• Launch a CCS debug session and run the executable, see CCS Launch, Load and Run
• Connect Edge AI Studio to the device via UART for data capture

See Also

AI Examples

Sample Output

[TEMP] TIDA-010997 Temperature Sensor Data Capture Example
[TEMP] HDC3020 sensor initialized at 10Hz
[TEMP] DAP initialized. Waiting for Edge AI Studio...