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+---
+title: Arduino® UNO Q Example Applications
+description: An overview of various applications developed for the Arduino® UNO Q platform, showcasing unique functionalities from environmental monitoring to machine learning.
+author: Karl Söderby and Christopher Méndez
+tags: [AI, Computer Vision, Audio Classification, Arduino App Lab]
+---
+
+## Overview
+
+This article provides a comprehensive overview of various applications developed for the Arduino® UNO Q platform. Each application showcases unique functionalities, from environmental monitoring to machine learning, leveraging the capabilities of the Arduino ecosystem. Below is a summary of each example, detailing the App's purpose, functionality, and components used.
+
+## Requirements
+
+- [Arduino® UNO Q](https://store.arduino.cc/products/uno-q)
+- [USB-C® cable](https://store.arduino.cc/products/usb-c-to-hdmi-multiport-adapter-with-ethernet-and-usb-hub)
+
+## Examples Without Additional Hardware
+
+### Air Quality Monitoring App
+
+![Air Quality Monitoring App](assets/air-quality-monitoring-app-hero.png)
+
+The **Air Quality Monitoring App** displays real-time air quality data using the AQICN service on an 8x13 LED matrix. It visually represents air quality levels with animated emoji patterns, ranging from "Good" to "Hazardous."
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/air-quality-monitoring)
+
+#### How it Works
+
+- **Data Fetching:** The app retrieves air quality data from the AQICN API for a specified city.
+- **Visualization:** Numeric AQI values are converted into visual patterns displayed on the LED matrix.
+- **Communication:** The Python® script handles API communication, while the Arduino sketch manages the LED display.
+
+#### Bricks Used
+
+- **None:** Direct communication between Python® and Arduino is facilitated through the Router Bridge.
+
+### Blink LED
+
+![Blink LED](assets/blink-led-hero.png)
+
+The **Blink** example toggles the onboard LED state every second, illustrating basic LED control and Router Bridge communication.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/blink)
+
+#### How it Works
+
+- **Timing Control:** A Python® script manages the timing and state logic for the LED.
+- **LED Control:** The Arduino sketch handles the hardware control.
+
+#### Bricks Used
+
+- **None:** Direct communication via Router Bridge.
+
+### Blinking LED from Arduino Cloud
+
+![Blinking LED from Arduino Cloud](assets/blinking-led-from-arduino-cloud-hero.png)
+
+This example allows remote control of the onboard LED from the Arduino Cloud using a dashboard with a switch.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/cloud-blink)
+
+
+#### How it Works
+
+- **Cloud Integration:** The `arduino_cloud` Brick connects the device to the Arduino Cloud.
+- **LED Control:** Changes in the cloud dashboard update the LED state.
+
+#### Bricks Used
+
+- **arduino_cloud:** Brick to create a connection to the Arduino Cloud.
+
+### Concrete Crack Detector
+
+![Concrete Crack Detector](assets/concrete-crack-detector-hero.png)
+
+The **Concrete Crack Detector** uses a pre-trained machine learning model to identify cracks in concrete surfaces. It provides a web interface for image upload and displays results with highlighted crack locations.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/anomaly-detection)
+
+
+#### How it Works
+
+- **Image Analysis:** The `VisualAnomalyDetection` Brick processes images to detect structural anomalies.
+- **Web Interface:** Users can upload images or select samples, adjust detection sensitivity, and view results.
+
+#### Bricks Used
+
+- **visual_anomaly_detection:** Brick to detect cracks and structural defects in concrete surfaces using computer vision and machine learning.
+- **web_ui:** Brick to create a web interface with image upload capabilities, confidence controls, and real-time result visualization.
+
+### Glass Breaking Sensor
+
+![Glass Breaking Sensor](assets/glass-breaking-sensor-hero.png)
+
+The **Glass Breaking Sensor** classifies audio files to detect glass breaking sounds using a machine learning model. It features a web interface for audio upload and real-time classification results.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/audio-classification)
+
+
+#### How it Works
+
+- **Audio Classification:** The `audio_classification` Brick analyzes audio files for specific sound patterns.
+- **Web Interface:** Supports audio file upload and displays classification results with confidence scores.
+
+#### Bricks Used
+
+- **audio_classification:** Brick to classify audio files using a pre-trained model for sound detection and analysis.
+- **web_ui:** Brick to create a web interface with audio upload capabilities, confidence controls, and real-time result display.
+
+### Image Classification
+
+![Image Classification](assets/image-classification-hero.png)
+
+The **Image Classification** example lets you perform image classification using a pre-trained neural network model. It features a web-based interface that allows you to upload images for classification, set the confidence threshold and see the inference results.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/image-classification)
+
+
+#### How it Works
+
+- **Image Classification:** The `image_classification` Brick classifies objects within an image file.
+- **Web Interface:** Supports image file upload and displays classification results with confidence scores.
+
+#### Bricks Used
+
+- `image_classification`: Brick to classify objects within an image. 
+- `web_ui`: Brick to create a web interface to display the image classification dashboard.
+
+### Linux® Blink with UI (JavaScript)
+
+![Linux® Blink with UI (JavaScript)](assets/linux-blink-with-ui-javascript-hero.png)
+
+The **Linux® Blink** example toggles an LED state on the board through a web-based interface, demonstrating basic event handling and UI updates.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/blink-with-ui)
+
+
+#### How it Works
+
+- **Web Interface:** A toggle switch controls the LED state via WebSocket communication.
+- **LED Control:** The Arduino sketch manages the LED hardware.
+
+#### Bricks Used
+
+- **web_ui:** Brick to create a web interface to display the LED control toggle switch.
+
+### Object Detection
+
+![Object Detection](assets/object-detection-hero.png)
+
+The **Object Detection** example lets you perform object detection using a pre-trained machine learning model. It shows how to process input images, run inference, and visualize detected objects with bounding boxes and labels.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/object-detection)
+
+
+#### How it Works
+
+- **Object Detection:** The `object_detection` Brick to locate and classify objects within an image file.
+- **Web Interface:** Supports image file upload and displays classification results with confidence scores.
+
+#### Bricks Used
+
+- **object_detection:** Brick to identify objects within an image.
+- **web_ui:** Brick to create a web interface.
+
+### System Resources Logger
+
+![System Resources Logger](assets/system-resources-logger-hero.png)
+
+The **System Resources Logger** monitors and displays real-time system performance data from your Arduino UNO Q board.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/system-resources-logger)
+
+#### How it Works
+
+- **Data Collection:** Uses the `psutil` library to gather CPU and memory usage statistics every 5 seconds.
+- **Data Storage:** The `dbstorage_tsstore` Brick stores performance metrics with timestamp.
+- **Web Interface:** Provides interactive visualization with real-time updates via WebSocket communication.
+
+#### Bricks Used
+
+- **dbstorage_tsstore:** Brick to store CPU and memory usage data in a time series database with retention and aggregation capability.
+- **web_ui:** Brick to create a web interface with real-time charts and historical data visualization.
+
+### UNO Q Pin Toggle
+
+![UNO Q Pin Toggle](assets/uno-q-pin-toggle-hero.png)
+
+The **UNO Q Pin Toggle** example lets you control the state of every pin of the Arduino UNO Q through an interactive web interface.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/unoq-pin-toggle)
+
+#### How it Works
+
+- **Web Interface:** Displays the board pins control dashboard with toggle switches.
+- **Pin Control:** The backend processes toggle requests and broadcasts updates.
+
+#### Bricks Used
+
+- **web_ui:** Brick to create a web interface with the UNO Q illustration and allow real-time pin control.
+
+### Weather Forecast on LED Matrix
+
+![Weather Forecast on LED Matrix](assets/weather-forecast-on-led-matrix-hero.png)
+
+The **Weather Forecasting System** displays real-time weather information from the *open-meteo.com* service on the Arduino UNO Q LED matrix.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/weather-forecast)
+
+#### How it Works
+
+- **Weather Data:** The `weather_forecast` Brick fetches data from the *open-meteo.com* API.
+- **LED Display:** The Arduino sketch manages LED matrix animations based on weather conditions.
+
+#### Bricks Used
+
+- **weather_forecast:** Brick to fetch weather data from the open-meteo.com API and convert weather codes into simple categories.
+
+## Examples Using Additional Hardware
+
+### Code Detector
+
+![Code Detector](assets/code-detector-hero.png)
+
+The **Code Detector** scans barcodes and QR codes using a USB camera, displaying results on a web interface and storing them in a local database.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/code-detector)
+
+#### Additional Hardware
+
+- USB camera
+- USB-C® dongle
+- External Power Supply (for powering the dongle)
+
+#### How it Works
+
+- **Code Detection:** The `camera_code_detection` Brick processes video input for code detection.
+- **Web Interface:** Displays live camera feed and detected codes.
+
+#### Bricks Used
+
+- **camera_code_detection:** Brick to detect barcodes and QR codes using a camera.
+- **dbstorage_sqlstore:** Brick to store the detected codes in a database.
+- **web_ui:** Brick to create a web interface to display the detected codes and the camera live feed.
+
+### Detect Objects on Camera
+
+![Detect Objects on Camera](assets/detect-objects-on-camera-hero.png)
+
+The **Detect Objects on Camera** example lets you detect objects on a live feed from a USB camera and visualize bounding boxes around the detections in real-time.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/video-generic-object-detection)
+
+#### Additional Hardware
+
+- USB camera
+- USB-C® dongle
+- External Power Supply (for powering the dongle)
+
+#### How it Works
+
+- **Video Stream:** Processes frames from a USB camera using the `video_objectdetection` Brick.
+- **Web Interface:** Displays the classification results and model controls.
+
+#### Bricks Used
+
+- **web_ui:** Brick to create a web interface to display the classification results and model controls.
+- **video_objectdetection:** Brick to classify objects within a live video feed from a camera.
+
+### Face Detector on Camera
+
+![Face Detector on Camera](assets/face-detector-on-camera-hero.png)
+
+The **Face Detector on Camera** example lets you detect faces on a live feed from a USB camera and visualize bounding boxes around the detections in real-time.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/video-face-detection)
+
+#### Additional Hardware
+
+- USB camera
+- USB-C® dongle
+- External Power Supply (for powering the dongle)
+
+#### How it Works
+
+- **Video Stream:** Processes frames from a USB camera using the `video_objectdetection` Brick.
+- **Web Interface:** Displays the classification results and model controls.
+
+#### Bricks Used
+
+- **web_ui:** Brick to create a web interface to display the classification results and model controls.
+- **video_objectdetection:** Brick to classify faces within a live video feed from a camera.
+
+### Hey Arduino!
+
+![Hey Arduino!](assets/hey-arduino-hero.png)
+
+The **Hey Arduino!** example triggers an LED matrix animation whenever the keyword "Hey Arduino" is detected through a microphone.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/keyword-spotting)
+
+#### Additional Hardware
+
+- USB microphone (or headset)
+- USB-C® dongle
+- External Power Supply (for powering the dongle)
+
+#### How it Works
+
+- **Keyword spotting:** Monitors the audio continuously, and when it detects the keyword, it calls the microcontroller to activate an animation on the LED matrix, using the Bridge tool.
+
+#### Bricks Used
+
+- **keyword_spotting:** this Brick is designed to detect sound patterns, triggering an event in case of a match.
+
+### Home Climate Monitoring
+
+![Home Climate Monitoring](assets/home-climate-monitoring-hero.png)
+
+The **Home Climate Monitoring** app records temperature and humidity data from the Modulino® Thermo node, displaying it on a web interface.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/home-climate-monitoring-and-storage)
+
+#### Additional Hardware
+
+- Modulino® Thermo
+- Qwiic cable
+
+#### How it Works
+
+- **Data Storage:** The `dbstorage_tsstore` Brick makes it possible to save, read, and manage time-based data.
+- **Web Interface:** Provides interactive visualization with real-time updates via WebSocket communication.
+
+#### Bricks Used
+
+- **dbstorage_tsstore:** Brick to store sensor data in a time series database with retention and aggregation capability.
+- **web_ui:** For deploying a user interface to display real-time and historical data.
+
+### Real Time Accelerometer Data
+
+![Real Time Accelerometer Data](assets/real-time-accelerometer-data-hero.png)
+
+The **Real Time Accelerometer Data** example records accelerometer data from the Modulino® Movement node, and streams it to a web interface.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/real-time-accelerometer)
+
+#### Additional Hardware
+
+- Modulino® Movement
+- Qwiic cable
+
+#### How it Works
+
+- **Motion Detection:** The `motion_detection` Brick processes accelerometer data to identify specific motion patterns using a pre-trained model.
+- **Web Interface:** Hosts a web server on the board, serving HTML, CSS & JavaScript files.
+
+#### Bricks Used
+
+- **motion_detection:** For processing accelerometer data and detecting movement patterns using machine learning.
+- **web_ui:** Brick to create a web interface to display the accelerometer data and the detected movements.
+
+### Person Classifier on Camera
+
+![Person Classifier on Camera](assets/person-classifier-on-camera-hero.png)
+
+The **Person Classifier** example lets you detect people on a live feed from a camera and visualize the model inference result on a user-friendly web interface.
+
+[**Example Source Code**](https://github.com/arduino/app-bricks-examples/tree/main/examples/video-person-classification)
+
+#### Additional Hardware
+
+- USB camera
+- USB-C® dongle
+- External Power Supply (for powering the dongle)
+
+#### How it Works
+
+- **Video Stream:** Processes frames from a USB camera using the `video_imageclassification` Brick.
+- **Web Interface:** Displays the classification results and model controls, triggers a greeting on person detections.
+
+#### Bricks Used
+
+- **web_ui:** Brick to create a web interface to display the classification results and model controls.
+- **video_imageclassification:** Brick to classify objects within a live video feed from a camera.
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