DT42/BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project transforms small, inexpensive devices like a Raspberry Pi into a smart gateway that can analyze images or videos using deep learning, right where the data is collected, without an internet connection. It takes video feeds or images from cameras and outputs classifications or identified objects on a local dashboard. This is ideal for businesses or individuals who need real-time, on-site visual monitoring and analysis.
1,620 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to automatically detect and classify objects in real-time video or images on-site, without relying on cloud services for analysis.
Not ideal if your application requires highly complex, large-scale deep learning models that demand significant computational power beyond what edge devices can provide.
Stars
1,620
Forks
227
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 16, 2023
Commits (30d)
0
Dependencies
4
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