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This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events shown in the images or videos without connecting to the cloud. One of the applications of this intelligent gateway is to use the camera to monitor the place you care about. For example, Figure 3 shows the analyzed results from the camera hosted in the DT42 office. The frames were captured by the IP camera and they were submitted into the AI engine. The output from the AI engine will be shown in the dashboard.
Features
- Classification and detection
- You can install BerryNet by using pre-built image or from source
- BerryNet performs an AIoT application by connecting independent components together
- Component types include but not limited to AI engine, I/O processor, data processor (algorithm), or data collector
- Open Freeboard on RPi (with touch screen)
- BerryNet camera client can run in two modes
Project Samples
