H12-521_V1.0 Exam Dumps - HCIP-Intelligent Vision V1.0

The correct answer is A because the SDC OS is designed with open northbound interconnection capability for platform integration. The material explains that “Standard interfaces such as ONVIF are used to connect cameras to the IVS platform” and further states that the open SDC OS supports camera connection through northbound access protocols such as “ONVIF, GB/T 28181, and GA/T 1400”

This directly confirms option A .

In practical intelligent vision deployment, these protocols are essential for interoperability between cameras, platforms, and third-party systems. ONVIF is widely used for standardized video surveillance interoperability. GB/T 28181 is important in many public-security and video networking scenarios. GA/T 1400 is commonly associated with structured data and public-security video information exchange. The other options list either general IT service protocols or physical interfaces, which are not the defined northbound camera access protocols in this context. Therefore, A is the correct answer because it precisely matches the supported protocol set described in the HCIP Intelligent Vision material.

CPU → Central processing unit

GPU → Graphics processing unit

FPGA → Field-programmable gate array

NPU → Neural processing unit

The correct matching is based on the standard definitions of the four processor types used in intelligent vision architecture. A CPU is the central processing unit , which handles general-purpose control, logic execution, and system coordination. A GPU is the graphics processing unit , originally designed for graphics rendering but now widely used for parallel computing tasks. An FPGA is a field-programmable gate array , which can be reconfigured for specific hardware logic functions and is valuable in acceleration and low-latency processing scenarios. An NPU is a neural processing unit , specialized for AI inference and deep-learning operations.

In intelligent vision systems, these processors serve different but complementary roles. The CPU manages operating control and service orchestration. The GPU accelerates highly parallel workloads. The FPGA supports custom hardware logic and fast pipeline processing. The NPU is especially important for AI-based vision services because it is optimized for neural-network computation, target recognition, and inference efficiency. This processor division is fundamental in intelligent camera, edge, and cloud architecture, where workload specialization improves overall system performance and intelligence capability.