The shop
Incredible state-of-the-art deep learning apps for a Raspberry Pi or Jetson Nano.
What's in the shop?
In the shop, you find deep learning solutions to everyday problems. We are committed to finding the best solution for you with the cheapest board. No compromises.
We have created some practical applications with deep learning models. The models are specially tailored for embedded systems such as a Raspberry Pi zero. We believe the applications have a high commercial potential. In other words, you can earn serious money with it. That's why we don't post them on GitHub for free. In this case, we charge a small fee. Not much, just enough for a cup of coffee and a sandwich at the end of the day.
Raspberry Pi Zero 2 with Camera and WiFi.
How does it work?
The first step is downloading the software. It can be a deep learning model, a program, or even a complete image of an SD card. All software is free. The only locked part is the deep learning model. By purchasing a key, you can unlock the model. Now, you can do with the application whatever suit you fit. You can adapt the GUI to your own needs. Or add additional functionality to the app.
The key to unlocking the code is related to the ID of your SD card in use. As long as you keep working on the same SD card, every part of the code is transparent and open. However, you cannot copy your card. In other words, if you need two devices, one for the entrance and the other for the exit, for instance, you shall need two keys.
We believe that anyone should be able to work with a Raspberry Pi, and that price should never be an obstacle. That's why we keep the fee for the keys really low. No matter how small the budget, everyone should at least be able to test the applications themselves.
Good to know.
- We make no warranty. Since you will adapt the code to your needs, it is out of our sight.
- We give very limited support. Because every customer gives his interpretation to the software, it is impossible to provide support here.
- Our programs use state of the art C++. Not Python. You must be a well skilled C++ programmer to get the most out of the software.
- Most applications have a CPU load of 95%. You don't have too much room for fancy features.
- Detailed descriptions of the applications can be found on the GitHub Wiki.
- And sorry, we do not issue refunds.
Two extras from our lawyer:
- We do not take any responsibility and we are not liable for any damage caused through use of products or services purchased through this website, be it indirect, special, incidental or consequential damages (including but not limited to damages for loss of business, loss of profits, interruption or the like). If you have any questions regarding the terms of use outlined here, please do not hesitate to contact us.
- See also our Terms and Conditions.
YoloCam.
YoloCam is a software package transforming your Raspberry Pi to a stand-alone, AI-powered camera. It runs on a Raspberry Pi 4, 3B+ or even on a Raspberry Pi Zero 2W, making it the cheapest camera with fully functional deep-learning capacities.
You can define what actions YoloCam performs when it recognizes an object. For instance, send you an email. Or make a movie and store it at Gdrive. Or activate one of its GPIO pins. At the same time, you can view your footage in any browser.
Installation is simple. Just download the software and flash it to an SD card. Once inserted into your Raspberry Pi, everything works right away.
The software comes with the latest Raspberry Pi Bullseye operating system. You don't need to be able to program. However, the used C++ source code is available on the image. See also our YoloCam page.
Raspberry Pi motion surveillance camera.
The application is a complete surveillance solution with email and gdrive storage. With a cheap V1 RPi camera and an RPi Zero 2, you have a fully-featured application for less than $25.=.
When the camera detects a motion, it sends an email notification. At the same time, it starts recording. Once complete, the recording is stored in your Google Drive. The camera publishes its stream on a website. You can view the footage with any modern browser.
You don't need any programming experience. Just flash the SD and follow the instructions on GitHub. However, you can modify the application as all C++ code is available. There are no costs; a tip is appreciated.