Sensor Data Collection & Labelling

Skill id

ai.data-collection

Area

Systems & Applications

Group

Edge AI

Roadmap importance

No roadmap colour (added by TESA)

Origin

Added by TESA

Status in the lesson library

Assessed by a lesson

See it on the skill roadmap

Lessons that develop this skill

Lesson	Course	Develops to
AI-ready Sensor Streams	TESA Firmware SDK for Edge AI	L2 Guided
Lab: Sensor Streams and AI-Ready Windows	TESA Firmware SDK for Edge AI	L2 Guided
Sampling to match the model: rate, Nyquist, windows and the CSV schema	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: a DAQ logger that writes a CSV dataset	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Audio and several sensors on one timeline: 16 kHz PDM, timestamps and jitter	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: IMU and sound in one file	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Features and windowing: what the model actually sees	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Dataset engineering: class balance, windows and the train/val/test split	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Hands-on: capture a balanced dataset on the board, split it on the PC	Edge AI Developer: From Sensor to On-Device Model	L3 Independent

Lessons that assess this skill

Lesson	Level	Evidence
Lab: Sensor Streams and AI-Ready Windows	L2 Guided	README.md#submit-checklist
Hands-on: a DAQ logger that writes a CSV dataset	L2 Guided	practice/s04_daq_logger.py
Hands-on: IMU and sound in one file	L2 Guided	practice/s05_multicapture.py
Hands-on: capture a balanced dataset on the board, split it on the PC	L2 Guided	practice/s11_dataset.py

Roles that use this skill

Role	Minimum level	In this role
Edge AI Engineer	L3 Independent	Required (R)

Proficiency levels

• L1 Aware · Bloom: remember/understand
• L2 Guided · Bloom: apply (scaffolded)
• L3 Independent · Bloom: apply/analyse
• L4 Professional · Bloom: analyse/evaluate
• L5 Design & Lead · Bloom: evaluate/create

For Open Badges 3.0 and CASE alignment

UUID: 42004b28-2651-50e3-8e7e-f8931f608ec8

{
  "type": [
    "Alignment"
  ],
  "targetName": "Sensor Data Collection & Labelling",
  "targetUrl": "https://tesaiot.github.io/tesa-qualification-program/skills/ai.data-collection/",
  "targetCode": "ai.data-collection",
  "targetFramework": "TESA Embedded Systems Skill Map 0.1.0",
  "targetType": "CFItem"
}

Skill map data is licensed CC BY-SA 4.0, adapted from the Embedded Systems Engineering Roadmap by Meysam Parvizi