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Merge branch 'arduino:main' into use-arduino-modulino
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Taskfile.dist.yml

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cmds:
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- |
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git ls-files |
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grep -Ev "(^|/)(libs|sketch-libraries|assets)/|\.(md|txt|yml|yaml|toml|gitignore|gitmodules)$" |
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grep -Ev "(^|/)(libs|sketch-libraries|assets)/|THIRD-PARTY-LICENSES.json|\.(md|txt|yml|yaml|toml|gitignore|gitmodules)$" |
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sed 's/ /\\ /g' |
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xargs reuse annotate -r --skip-unrecognized --copyright-prefix 'spdx-string-c' --copyright 'ARDUINO SA <http://www.arduino.cc>' --year '2025' --license 'MPL-2.0'
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- reuse download --all

examples/audio-classification/README.md

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- Arduino App Lab
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**Note:** You can also run this example using your Arduino UNO Q as a Single Board Computer (SBC) using a [USB-C hub](https://store.arduino.cc/products/usb-c-to-hdmi-multiport-adapter-with-ethernet-and-usb-hub) with a mouse, keyboard and display attached.
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**Note:** This example works with pre-loaded sample audio files and uploaded audio files. No external hardware peripherals are required. The example works in [Network Mode](https://docs.arduino.cc/tutorials/uno-q/user-manual/#network-mode) as well.
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## How to Use the Example
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1. Run the App
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![Run the App](assets/docs_assets/launch-app.png)
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2. The App should open automatically in the web browser. You can open it manually via `<board-name>.local:7000`.
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2. The App should open automatically in the web browser. You can also open it manually via `<board-name>.local:7000` or `http://<board-ip-address>:7000` (Network Mode).
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3. Choose your audio input method:
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- **Audio from sample**: Select from pre-loaded sample audio files (includes glass breaking examples and background noise)
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The Python® component handles audio classification and web service functionality.
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- **`AudioClassification` integration**: Initializes the audio classification model with lazy loading and fallback mock microphone support for file-based classification scenarios.
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- **`AudioClassification` integration**: Initializes the audio classification model for file-based classification. The example processes pre-recorded audio files (uploaded or from samples).
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- **`parse_data()` function**: Handles WebSocket message parsing, supporting both JSON string and dictionary formats for flexible client communication.
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examples/video-face-detection/assets/index.html

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<div class="slider-container">
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<div class="slider-progress" id="sliderProgress"></div>
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<div class="confidence-value-display" id="confidenceValueDisplay">0.5</div>
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<input type="range" id="confidenceSlider" min="0" max="1" step="0.05" value="0.5">
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<input type="range" id="confidenceSlider" min="0" max="1" step="0.01" value="0.5">
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</div>
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<span class="confidence-limits">1</span>
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</div>

examples/video-face-detection/assets/style.css

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height: 48px;
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width: auto;
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font-weight: inherit;
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color: inherit;
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text-align: center;
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width: 32px;
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width: 40px;
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padding: 0;
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outline: none;
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opacity: 1;
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.feedback-section {
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margin-bottom: 8px;
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}
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.feedback-content {
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display: flex;
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flex-direction: column;
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position: absolute;
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left: 25%;
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left: 5%;
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margin-left: 8px;
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examples/video-generic-object-detection/assets/index.html

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<div class="slider-progress" id="sliderProgress"></div>
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<div class="confidence-value-display" id="confidenceValueDisplay">0.5</div>
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<input type="range" id="confidenceSlider" min="0" max="1" step="0.05" value="0.5">
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<input type="range" id="confidenceSlider" min="0" max="1" step="0.01" value="0.5">
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</div>
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<span class="confidence-limits">1</span>
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</div>

examples/video-generic-object-detection/assets/style.css

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height: 48px;
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.feedback-section {
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}
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.confidence-input {
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background: transparent;
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font-size: 12px;
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width: 40px;
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examples/video-person-classification/assets/index.html

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<div class="slider-progress" id="sliderProgress"></div>
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<div class="confidence-value-display" id="confidenceValueDisplay">0.5</div>
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<input type="range" id="confidenceSlider" min="0" max="1" step="0.05" value="0.5">
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<input type="range" id="confidenceSlider" min="0" max="1" step="0.01" value="0.5">
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</div>
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<span class="confidence-limits">1</span>
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</div>

examples/video-person-classification/assets/style.css

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.scan-content,
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.scan-content-time {
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font-size: 12px;
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line-height: 160%;
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.feedback-section {
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margin-bottom: 8px;
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}
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.confidence-input {
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background: transparent;
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font-size: 12px;
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font-weight: inherit;
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width: 40px;
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learn-docs/00.uno-q/uno-q.md

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tags: [UNO Q, Overview]
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icon: UNO
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category: basic
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last_revised: 2025/10/01
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![Arduino UNO Q](assets/uno-q-hero.png)

learn-docs/01.first-setup/first-setup.md

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tags: [Apps, Bricks, Sketches, Python, SBC]
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![Hero Image](assets/first-setup-hero.png)

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