NVIDIA DeepStream
NVIDIA's SDK for analyzing dozens of video streams in real time on a GPU.
DeepStream assembles video analytics pipelines as GStreamer graphs where every stage stays on the GPU: NVDEC hardware decoding, multi-stream batching, TensorRT or Triton inference, object tracking, on-screen display and metadata publishing to Kafka, MQTT or AMQP. The same pipeline, written in C++ or Python, runs on a Jetson at the edge or on a data-center GPU, with primary and secondary inference to detect and then classify. It's our choice when several cameras have to be analyzed continuously on site, without needless CPU copies.
What NVIDIA DeepStream brings to your project.
Typical use cases: People and vehicle counting, industrial site security, in-line quality control, retail analytics.
- 01
Zero-copy GStreamer pipeline: NVDEC decoding, inference, tracking and encoding on the GPU.
- 02
nvstreammux multi-stream batching: dozens of RTSP cameras on a single card.
- 03
Built-in trackers (NvDCF, NvSORT, NvDeepSORT) and cascaded detect-then-classify inference.
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Metadata published to Kafka, MQTT, AMQP or Azure IoT through nvmsgbroker.
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