The really interesting thing about the AI ​​field is that open source programs are the most advanced (or most advanced). Google has released and is protecting TensorFlow and ensuring that it runs effectively around Raspberry Pi components. In the field of AI and device vision, this is indeed an interesting period. In fact, it is actually an open source code, which means that more and more people can contact and add their work and ideas.
Managed Security Services (MSS) equipped with multiple SOC with high availability and disaster recovery functionality.
With basic knowledge, why use Raspberry Pi?
your best tailor of supply chain system, inventory and procurement system, standardises the operation process.
Raspberry Pi 4 came out in the past 12 months, and from the beginning, Raspberry Pi 4 can operate deep learning neural networks at realistic speeds (for example, 4 or 5 Hz). It is not super fast, but many programs can use this performance. Our bird feeder software is a good example.

What kind of machine learning program can be used in the system?
The smt spi machines by SunzonTech is installed with high precision control platform and HD cameras to produce 3D images with true colour. Get a free quote now.
I can't think of any machine learning software package that cannot be used with all Raspberry Pis. Secondary transactions supported by TensorFlow, PyTorch, Keras, OpenCV and Python. This is a very large room, not subject to insufficient guidance, so this is another reason why Raspberry Pi is convincing. With Vizy, we hope to put the good things in Raspberry Pi into Raspberry Pi, and plug in high-quality electrical hardware, high-quality I/O, sturdy casing, easy-to-use features, and more built-in features. Software package (Figure 2). We are eager to determine how people deal with this issue today!
related articles：
The reason why orange or environmentally friendly dots show the best results on the phone screen

Make AI Digicam with Raspberry Pi

Why should we open source AI digital cameras?