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Com a API Video Intelligence Streaming é possível detectar e rastrear objetos em dados multimídia transmitidos ao vivo. A análise em tempo real dos dados é disponibilizada por meio da API.
O AIStreamer retorna uma resposta semelhante ao exemplo a seguir.
Reading response.
Entity description: mirror
Track Id: 12
Entity id: /m/054_l
Confidence: 0.936193287373
Time offset of the first frame: 7.5075s
Bounding box position:
left : 0.0509275756776
top : 0.748813211918
right : 0.218115285039
bottom: 0.979368686676
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-09-04 UTC."],[],[],null,["# Live object tracking\n\n| **Beta**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nWith Video Intelligence Streaming API you can detect and track objects in\nlive-streamed multimedia data. Real-time analysis of the data is then\navailable through the API.\n\nThe following\n[configuration JSON object](https://github.com/google/aistreamer/tree/master/ingestion/client/cpp/config/object.json)\nshows how to use\n[AIStreamer](https://github.com/google/aistreamer/tree/master/ingestion)\nlive object tracking to annotate a streaming video. \n\n```javascript\n{\n \"video_config\": {\n \"feature\": \"STREAMING_OBJECT_TRACKING\"\n }\n}\n```\n\nThe AIStreamer returns a response similar to the following example. \n\n```scdoc\nReading response.\nEntity description: mirror\nTrack Id: 12\nEntity id: /m/054_l\nConfidence: 0.936193287373\nTime offset of the first frame: 7.5075s\nBounding box position:\n left : 0.0509275756776\n top : 0.748813211918\n right : 0.218115285039\n bottom: 0.979368686676\n```"]]
