What type of analytics does the DeepStream SDK primarily focus on?

The DeepStream SDK primarily focuses on video analytics, which encompasses the ability to analyze and interpret video streams in real time. This SDK is designed to efficiently manage and process large volumes of video data, allowing for features such as object detection, classification, and tracking directly from video feeds.

Its architecture leverages hardware acceleration to enable low-latency inference and analytics on live video streams, making it particularly suitable for applications such as surveillance, smart cities, and autonomous systems where interpreting the visual data from videos is crucial. This is different from image processing, which typically deals with single images rather than continuous video frames, and does not encompass the breadth of functionality that video analytics involves. Similarly, data mining and text analytics are not within the primary focus of the DeepStream SDK, as they pertain to different forms of data analysis that deal with structured databases and textual data, respectively.