[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-deepstream":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"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.",[7,8,9,10],"Zero-copy GStreamer pipeline: NVDEC decoding, inference, tracking and encoding on the GPU.","nvstreammux multi-stream batching: dozens of RTSP cameras on a single card.","Built-in trackers (NvDCF, NvSORT, NvDeepSORT) and cascaded detect-then-classify inference.","Metadata published to Kafka, MQTT, AMQP or Azure IoT through nvmsgbroker.","People and vehicle counting, industrial site security, in-line quality control, retail analytics.",1792592357056]