The discussion around the use of artificial intelligence in public space is ongoing. To contribute to this discussion we developed OpenDataCam, an open source tool that quantifies and tracks moving objects with live video analysis to better understand interactions in urban environments.
The tool never records any photo or video data. It only saves meta-data, in particular the path an object moved or number of counted objects at a certain point. The novelty of the OpenDataCam is, that everything happens locally, while no visual data is saved or sent to online cloud processing.
OpenDataCam runs on Linux and CUDA GPU enabled hardware. It is optimized for the NVIDIA Jetson Board series. The most affordable setup runs on a Jetson Nano combined with other off-the-shelf equipment like a webcam and power supply. The software contains a friendly user interface and is currently optimised for detecting and counting traffic participants, but not limited to that.