Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Dengan Video Intelligence Streaming API, Anda dapat mendeteksi dan melacak objek dalam data multimedia yang di-live stream. Analisis data real-time kemudian tersedia melalui API.
AIStreamer menampilkan respons yang mirip dengan contoh berikut.
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
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 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```"]]