%3CLINGO-SUB%20id%3D%22lingo-sub-1527921%22%20slang%3D%22en-US%22%3EReducing%20edge%20compute%20costs%20with%20Live%20Video%20Analytics%20and%20Microsoft%20Rocket%3C%2FLINGO-SUB%3E%3CLINGO-BODY%20id%3D%22lingo-body-1527921%22%20slang%3D%22en-US%22%3E%3CDIV%3EThe%20total%20cost%20of%20ownership%20(TCO)%20for%20video%20analytics%20is%20an%20important%20consideration%20for%20customers.%20That%E2%80%99s%20why%20we%20integrated%20%3CA%20href%3D%22https%3A%2F%2Fazure.microsoft.com%2Fen-us%2Fservices%2Fmedia-services%2Flive-video-analytics%2F%22%20target%3D%22_blank%22%20rel%3D%22noopener%20noopener%20noreferrer%20noopener%20noreferrer%22%3ELive%20Video%20Analytics%3C%2FA%3E%20from%20Azure%20Media%20Services%20and%20%3CA%20href%3D%22http%3A%2F%2Faka.ms%2Frocket%22%20target%3D%22_blank%22%20rel%3D%22noopener%20noopener%20noreferrer%20noopener%20noreferrer%22%3EMicrosoft%20Rocket%20(from%20Microsoft%20Research)%3C%2FA%3E.%20The%20integration%20enables%20an%20order-of-magnitude%20improvement%20in%20throughput%20per%20edge%20core%20(frame%20per%20second%20analyzed%20per%20CPU%2FGPU%20core)%2C%20while%20still%20maintaining%20the%20accuracy%20of%20the%20video%20analytics%20insights.%3C%2FDIV%3E%0A%3CDIV%3E%26nbsp%3B%3C%2FDIV%3E%0A%3CDIV%3EMicrosoft%20Rocket%2C%20an%20open-source%20project%20from%20Microsoft%20Research%2C%20provides%20cascaded%20video%20pipelines%20that%20combined%20with%20Live%20Video%20Analytics%20from%20Azure%20Media%20Services%2C%20makes%20it%20easy%20and%20affordable%20for%20developers%20to%20build%20video%20analytics%20applications%20in%20their%20IoT%20solutions.%20For%20details%2C%20see%20our%20full%20post%20on%20the%20%3CA%20href%3D%22https%3A%2F%2Ftechcommunity.microsoft.com%2Ft5%2Finternet-of-things%2Flive-video-analytics-with-microsoft-rocket-for-reducing-edge%2Fba-p%2F1522305%22%20target%3D%22_blank%22%20rel%3D%22noopener%22%3EIoT%20blog%3C%2FA%3E.%3C%2FDIV%3E%3C%2FLINGO-BODY%3E%3CLINGO-TEASER%20id%3D%22lingo-teaser-1527921%22%20slang%3D%22en-US%22%3E%3CP%3E%3CSPAN%20class%3D%22lia-inline-image-display-wrapper%20lia-image-align-center%22%20image-alt%3D%22video-analytics-hero%20734x340.png%22%20style%3D%22width%3A%20734px%3B%22%3E%3CIMG%20src%3D%22https%3A%2F%2Fgxcuf89792.i.lithium.com%2Ft5%2Fimage%2Fserverpage%2Fimage-id%2F205518i16C5B32781A1C6A7%2Fimage-size%2Flarge%3Fv%3D1.0%26amp%3Bpx%3D999%22%20title%3D%22video-analytics-hero%20734x340.png%22%20alt%3D%22video-analytics-hero%20734x340.png%22%20%2F%3E%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%3CSPAN%20style%3D%22font-family%3A%20inherit%3B%22%3EMicrosoft%20Rocket%20combined%20with%20Live%20Video%20Analytics%20from%20Azure%20Media%20Services%20makes%20it%20easy%20and%20affordable%20for%20developers%20to%20build%20video%20analytics%20applications%20in%20their%20IoT%20solutions.%26nbsp%3B%3C%2FSPAN%3E%3C%2FP%3E%0A%3CP%3E%26nbsp%3B%3C%2FP%3E%3C%2FLINGO-TEASER%3E%3CLINGO-LABS%20id%3D%22lingo-labs-1527921%22%20slang%3D%22en-US%22%3E%3CLINGO-LABEL%3Ebandwidth%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3ELive%20Video%20Analytics%3C%2FLINGO-LABEL%3E%3CLINGO-LABEL%3EVideo%3C%2FLINGO-LABEL%3E%3C%2FLINGO-LABS%3E
Microsoft
The total cost of ownership (TCO) for video analytics is an important consideration for customers. That’s why we integrated Live Video Analytics from Azure Media Services and Microsoft Rocket (from Microsoft Research). The integration enables an order-of-magnitude improvement in throughput per edge core (frame per second analyzed per CPU/GPU core), while still maintaining the accuracy of the video analytics insights.
 
Microsoft Rocket, an open-source project from Microsoft Research, provides cascaded video pipelines that combined with Live Video Analytics from Azure Media Services, makes it easy and affordable for developers to build video analytics applications in their IoT solutions. For details, see our full post on the IoT blog.