https://github.com/seeed-projects/fall_detection_with_aibox

https://github.com/seeed-projects/fall_detection_with_aibox

Last synced: 10 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/seeed-projects/fall_detection_with_aibox
• Owner: Seeed-Projects
• Created: 2025-07-11T07:34:41.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-07-25T07:45:54.000Z (11 months ago)
• Last Synced: 2025-07-25T13:22:33.953Z (11 months ago)
• Language: Python
• Size: 13.2 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Falldown detection

Using the YOLOv8n model to detect changes in the length-to-width ratio of a person’s bounding box (bbox) to determine whether a fall has occurred can assist hospitals or nursing homes in monitoring elderly individuals for falls, thereby reducing the workload of caregivers. 

## Hardware prepare

|                                               reComputer AI Box                                              |                                               reComputer Industry AI Box                                               |

| :----------------------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------------: |

| ![Raspberry Pi AI Kit](https://media-cdn.seeedstudio.com/media/catalog/product/cache/bb49d3ec4ee05b6f018e93f896b8a25d/i/m/image114993560.jpeg) | ![reComputer R1100](https://media-cdn.seeedstudio.com/media/catalog/product/cache/bb49d3ec4ee05b6f018e93f896b8a25d/2/-/2-114993595-recomputer-ai-industrial-r2135-12.jpg) |

| [**Purchase Now**](https://www.seeedstudio.com/reComputer-AI-R2130-12-p-6368.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) | [**Purchase Now**](https://www.seeedstudio.com/reComputer-AI-Industrial-R2135-12-p-6432.html?utm_source=PiAICourse&utm_medium=github&utm_campaign=Course) |

## Software prepare

### Install the runtime environment 

```bash

sudo apt update && sudo apt full-upgrade -y && sudo apt install hailo-all

```

### Install the project

```bash

git clone https://github.com/Seeed-Projects/fall_detection_with_AIBox.git

cd fall_detection_with_AIBox

```

### Prepare the python environment

```bash

python -m venv .env --system-site-packages  && source .env/bin/activate

pip install -r requirements.txt

```

## Run the project

```bash

python app.py -i ./falldown_test.mp4 -n ./yolov8n.hef --show-fps -l ./common/coco.txt

```

## Result

[![Watch on YouTube](https://img.youtube.com/vi/H0NaAevLo2k/0.jpg)](https://www.youtube.com/watch?v=H0NaAevLo2k)

## Reference

This project references  [Hailo-Application-Code-Examples](https://github.com/hailo-ai/Hailo-Application-Code-Examples).