ADL-1000 - Use Case
Recording and Analysing
The ADL-1000 is a platform, where data can be recorded, stored, and analysed. This is possible with a data rate up to 60 Gbit/s. The data is recorded on up to 8 NVMe devices. The following external data sources can be connected to the ADL-1000:
- GigE Vision cameras
- Ethernet/UDP data
- Raw data
In the following use case, GigE Vision cameras are directly connected to the ADL-1000. The camera data is recorded, analysed (detection of objects) and stored on the NVMe devices. While the camera data is recorded, it is also provided to a Nvidia Jetson board, which is doing the AI calculation of the camera data. In parallel, the camera data is also provided to an external small cube PC, where a Prometheus database and a Grafana server is running. In addition to the camera data, sensor data (metrics) are also provided to the connected PC. With the help of the PC, an external monitor and the Grafana web interface, it is possible to monitor temperatures, the recording speed of the NVMe devices and the result of the AI classification (and many more).
In the following picture, the setup of the described use case is shown:
Figure 1: ADL-1000 Demo Use Case
As mentioned before, there are other use cases, where the data is provided from an external source other than GigE Vision cameras. This could be for example a RFSoC board, where it is necessary to record a huge amount of ADC data. But there are also generic low latency interfaces / protocols possible, so that any type of data can be recorded efficiently.
Please visit the ADL-1000 website for more information.
