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More description updates #321

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---
description: >-
A primer on using a Transformer-based model at a low-powered,
A primer on using a Transformer-based model on a low-powered,
resource-constrained microcontroller-based wearable that detects falls.
---

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---
description: >-
A SiLabs Thunderboard Sense 2 TinyML-based wearable belt for manufacturing
workers to detect correct / incorrect posture.
workers, to detect correct / incorrect posture.
---

# Posture Detection for Worker Safety
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---
description: >-
Take an existing Edge Impulse model built for the Thunderboard Sense 2, and
Take an existing gesture recognition model built for the Thunderboard Sense 2, and
prepare it for use on the SiLabs xG24 board.
---

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---
description: >-
Take an existing Edge Impulse model built for the Thunderboard Sense 2, and
Take an existing accelerometer model built for the Thunderboard Sense 2, and
prepare it for use on the SiLabs xG24 board.
---

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---
description: >-
Using a XIAO ESP32C3 to monitor temperature, humidity, and pressure to help
Use a XIAO ESP32C3 to monitor temperature, humidity, and pressure to help
aid in dairy manufacturing processes.
---

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# Fire Detection Using Sensor Fusion and TinyML

## Fire Detection Using Sensor Fusion and TinyML

Created By: Nekhil R.

Public Project Link: [https://studio.edgeimpulse.com/public/160533/latest](https://studio.edgeimpulse.com/public/160533/latest)
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2 changes: 1 addition & 1 deletion audio-projects/audio-classification-silabs-xg24.md
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---
description: >-
Take an existing Edge Impulse model built for the Thunderboard Sense 2, and
Take an existing audio classification model built for the Thunderboard Sense 2, and
prepare it for use on the SiLabs xG24 board.
---

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---
description: >-
A smart device that detects running faucets using a machine learning model and
A smart device that detects running faucets using a machine learning model, and
sends alert messages over a cellular network.
---

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---
description: >-
Use machine learning to read analog knobs, in a small Behringer audio console
to allow or abort a recording
to start or stop a recording.
---

# Knob Eye: Monitor Analog Dials and Knobs with Computer Vision
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2 changes: 1 addition & 1 deletion image-projects/pharmaceutical-pill-defect-detection.md
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---
description: >-
A computer vision-assisted system that accurately detects defects in
pharmaceutical pills using Edge Impulse FOMO.
pharmaceutical pills using Edge Impulse.
---

# Pharmaceutical Pill Quality Control and Defect Detection
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2 changes: 1 addition & 1 deletion image-projects/silabs-xg24-card-sorting-and-robotics-1.md
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---
description: >-
Getting started with the SiLabs xG24 and an Arducam to identify cards with
computer vision and TinyML, for later use in a robotics sorting project
computer vision and TinyML, for later use in a robotics sorting project.
---

# The SiLabs xG24 Plus Arducam - Sorting Objects with Computer Vision and Robotics - Part 1
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2 changes: 1 addition & 1 deletion image-projects/smart-factory-prototype-ti-tda4vm.md
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---
description: >-
Using a TI TDA4VM, RTSP streaming, and an Edge Impulse model, monitor the
status on your factory equipment and take action when needed
status on your factory equipment and take action when needed.
---

# Smart Factory Prototype with Texas Instruments TDA4VM
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---
description: >-
Use the Edge Impulse API to build and deploy a computer vision project
directly from an Edge AI device like a Jetson Nano
directly from an Edge AI device like an Nvidia Jetson Nano.
---

# Edge Impulse API Usage Sample Application - Jetson Nano Trainer
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---
description: >-
Leveraging open-source Hugging Face Image Datasets for use in an Edge Impulse
Leveraging open-source Hugging Face image datasets for use in an Edge Impulse
computer vision project.
---

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