YOLOv8 AI Box: Fall, Climb & Track
Introduction
This project will guide you on how to use the reComputed AI Box or reComputed Industry AI Box to implement fall detection, climbing detection, and tracking detection using the YOLOv8 model.
Hardware prepare
| reCompuer AI Box | reComputer Industry AI Box |
|---|---|
 |  |
| Purchase Now | Purchase Now |
💡 Note: This project requires a reComputer AI Box or a reComputer Industry AI Box.
Fall down detection
Install the runtime environment
sudo apt update && sudo apt full-upgrade -y && sudo apt install hailo-all
Download the project
git clone https://github.com/Seeed-Projects/fall_detection_with_AIBox.git
cd fall_detection_with_AIBox
Prepare the python environment
python -m venv .env --system-site-packages && source .env/bin/activate
pip install -r requirements.txt
Run the project
python app.py -i ./falldown_test.mp4 -n ./yolov8n.hef --show-fps -l ./common/coco.txt
Result
Fence climbing
Install the runtime environment
sudo apt update && sudo apt full-upgrade -y && sudo apt install hailo-all
Download the project
git clone https://github.com/Seeed-Projects/cross_fence_with_AIBox.git
cd cross_fence_with_AIBox
Prepare the python environment
python -m venv .env --system-site-packages && source .env/bin/activate
pip install -r requirements.txt
Run the project
python app.py -i ./scale_the_fence.mp4 -n ./yolov8n.hef --show-fps -l ./common/coco.txt
Result
Tracking
Install the runtime environment
sudo apt update && sudo apt full-upgrade -y && sudo apt install hailo-all
Download the project
git clone https://github.com/Seeed-Projects/track_people_with_AIBox.git
cd fall_detection_with_AIBox
Prepare the python environment
python -m venv .env --system-site-packages && source .env/bin/activate
pip install -r requirements.txt
Run the project
python app.py -i ./people-walking.mp4 -n ./yolov8n.hef --show-fps -l ./common/coco.txt --track
result
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