Low-Code Stream Processor
The Groundlight Stream Processor is a simple containerized application for processing video streams and submitting frames to Groundlight.
It supports a variety of input sources, including:
- Video devices (webcams)
- Video files (MP4, etc)
- RTSP streams
- HLS streams
- YouTube videos
- Image directories
- Image URLs
The Stream Processor can be combined with Groundlight Alerts to create a simple video analytics system. For example, you could use the Stream Processor to process a video stream from a security camera and send an alert when a person is detected.
Prerequisites:
You will need:
- A Groundlight account
- An API token from the Groundlight dashboard
- Docker installed on your system
Set your Groundlight API token as an environment variable:
export GROUNDLIGHT_API_TOKEN="<your-api-token>"
Create a Detector via the Groundlight Dashboard
Once signed in to the Groundlight dashboard, create a new detector by clicking the "Create New" button. Give your detector a name, a question, and a confidence threshold, then click "Save."
You will be redirected to the detector's page, where you can find the detector ID under the Setup tab. Note this ID for later use.
Processing a Stream
Processing a stream is as easy as running a Docker container. For example, the following command will process a video file:
docker run -v /path/to/video:/videos groundlight/stream \
-t "$GROUNDLIGHT_API_TOKEN" \
-d “<your-detector-id>” \
-s /videos/video.mp4 \
-f 1
This will begin submitting frames from the video file to Groundlight. The -f
flag specifies the frame rate in terms of frames per second. The container can be stopped by pressing Ctrl+C
.
A variety of input sources are supported, including RTSP streams. To process an RTSP stream, run the following command:
docker run groundlight/stream \
-t "$GROUNDLIGHT_API_TOKEN" \
-d “<your-detector-id>” \
-s "<your-rtsp-url>" \
-f 0.5 \
-v
This will begin submitting frames from the RTSP stream to Groundlight. The -v
flag enables verbose logging.
If you only wish to submit frames to Groundlight when there is motion detected in the video stream, you can add the -m
flag:
docker run groundlight/stream \
-t "$GROUNDLIGHT_API_TOKEN" \
-d “<your-detector-id>” \
-s "<your-rtsp-url>" \
-f 2 \
-m
You may want the container to run in the background. To do this, add the --detach
flag to the docker run
command:
docker run --detach groundlight/stream \
-t "$GROUNDLIGHT_API_TOKEN" \
-d “<your-detector-id>” \
-s "<your-rtsp-url>" \
-f 2 \
-m
The Groundlight Stream Processor is lightweight and can be run on a Raspberry Pi or other low-power devices.
Combining with Groundlight Alerts
The Stream Processor submits frames to Groundlight, but it does not do anything with the results.
In order to build a useful alerting system, you can combine the Stream Processor with Groundlight Alerts.