H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs.
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Jun 2, 2025
updated
H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs. See our solutions in video:
https://github.com/user-attachments/assets/a152c174-e275-44c1-8a85-3768a2715fea
See our solution in slides:
For this solution, please copy the demo.py and download_ckp.py files to the ./Video-XL/Video-XL/ directory using:
cp demo.py ./Video-XL/Video-XL/
cp download_ckp.py ./Video-XL/Video-XL/
Then, follow the instructions in ./Video-XL/Video-XL/ provided to set up the environment.
Navigate to that directory and run the following Python scripts:
cd ./Video-XL/Video-XL/
python download_ckp.py
python demo.py
4 commits
1 commits
Jupyter Notebook
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H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs.
0
stars
5
commits
Jupyter Notebook
primary language
Jun 2, 2025
updated
H-AI, the Human Hands-Free Helper, captures technicians’ work through video, voice, and smart alerts, then uses AI to auto-build post-job logs. It turns rugged, hands-on sites into seamless, error-free reporting so crews stay focused on safe, high-quality repairs. See our solutions in video:
https://github.com/user-attachments/assets/a152c174-e275-44c1-8a85-3768a2715fea
See our solution in slides:
For this solution, please copy the demo.py and download_ckp.py files to the ./Video-XL/Video-XL/ directory using:
cp demo.py ./Video-XL/Video-XL/
cp download_ckp.py ./Video-XL/Video-XL/
Then, follow the instructions in ./Video-XL/Video-XL/ provided to set up the environment.
Navigate to that directory and run the following Python scripts:
cd ./Video-XL/Video-XL/
python download_ckp.py
python demo.py
4 commits
1 commits
Jupyter Notebook
100.0%