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SD-SDI, HD-SDI, 3G-SDI, 6G-SDI & 12G-SDI

A Guide to SDI Capture for Edge AI

In an era where machines see, decide, and act faster than ever before, the ability to ingest video at scale and with precision is no longer optional, it is foundational. At the heart of this transformation lies Serial Digital Interface (SDI), a technology born in the world of broadcast that has found a powerful new role in industrial computing and edge AI inference. By bridging ruggedized cameras with edge computers, SDI enables real time perception, whether on a factory floor, inside an autonomous vehicle, or across mission critical defense systems.

What is SDI Video Capture?

SDI video capture is the process of ingesting uncompressed video signals, transmitted over coaxial cables using the Serial Digital Interface standard, into a computing platform for processing, analysis, or storage. Unlike compressed video formats, SDI delivers broadcast grade quality with near zero latency, making it ideal for real time applications. A capture card or module receives the SDI feed and translates it into a data stream accessible by the host system over PCIe, M.2, or other expansion interfaces. Once ingested, the video can be recorded, streamed, or accelerated through GPU pipelines for advanced workloads such as edge AI inference, defect detection, situational awareness, or autonomous navigation. In industrial edge computing, SDI video capture is the bridge between rugged cameras in the field and the intelligence engines that transform pixels into actionable insight.

As SDI has evolved to deliver higher resolutions and richer detail, its applications have expanded beyond broadcast into diverse edge AI systems where reliable, real time video capture is essential.

Autonomous Vehicles & Drones: Low-latency video feeds from rugged SDI cameras for navigation and object detection.

Industrial Inspection: 4K SDI cameras capture high-resolution imagery for defect detection at production lines.

Defense & Aerospace: Multi-link SDI capture for situational awareness and mission recording.

Medical Imaging : HD-SDI and 3G-SDI for real-time video capture in surgical robots and diagnostic devices.

Broadcast-Grade AI Systems: Edge AI servers using Jetson or x86 capture SDI feeds for live content analysis, streaming, and compliance.

SDI Standards, Resolutions & Configurations

Over the past three decades, SDI has evolved from standard definition broadcast signals into today’s ultra high resolution video transport, advancing in step with the rising demands of industrial computing and AI workloads. Each generation of SD-SDI, HD-SDI, 3G-SDI, 6G-SDI and 12G-SDI has expanded bandwidth to enable higher frame rates, greater color precision, and ever larger pixel counts.

As video resolutions have grown, SDI capture has evolved not only in bitrate but also in how signals are delivered. While single link SDI provides a straightforward path for transmitting standard and high definition video, more demanding formats like 4K and 8K often require dual link or quad link connections to split the data across multiple synchronized channels. These configurations ensure that higher frame rates and larger pixel counts can be transported reliably without compression.

Integrating SDI Frame Grabbers: PCIe, mPCIe & M.2

The edge is not one form factor, it is many. From rugged industrial PCs to compact NVIDIA Jetson systems, SDI capture technology adapts to the architectures shaping the next generation of intelligent computing. Utilising PCIe/mPCIe and M.2 expansion, uncompressed broadcast grade video can flow seamlessly into neural networks at the edge. This flexibility ensures that whether your application is built around a rugged rackmount server or Edge AI gateway, SDI capture is ready to deliver reliable, real time vision.

Achieving Low Latency with SDI Capture

In AI workloads, milliseconds matter. Serial Digital Interface video is uncompressed, which means SDI latency is dictated not by transport over the cable but by the capture and processing chain inside the system. Every element of the hardware pipeline, from the capture card to the bus interface to the GPU memory path, determines how quickly pixels become intelligence.

High performance SDI capture devices equipped with FPGAs or ASICs can offload color space conversion, scaling, and synchronization at wire speed, reducing the burden on the host CPU. When paired with later generation PCIe interconnects, these cards deliver the bandwidth required for multi channel 4K or 8K feeds without bottlenecks. M.2 and Mini Card modules extend this capability into compact fanless edge systems, allowing SDI video capture directly at the point of data generation.

With support for GPUDirect RDMA, frames can bypass system memory and stream directly into GPU buffers where CUDA pipelines and TensorRT inference engines execute in real time. This minimizes copy overhead, keeps SDI latency within the sub frame threshold, and enables deterministic response for mission critical systems.

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Ready to Deploy SDI Frame Grabbers at the Edge?

We supply SDI capture cards in PCIe, M.2, and Mini Card form factors and integrate them into industrial edge AI systems. Our expertise in GPUDirect and CUDA pipelines helps reduce latency so your applications can see, decide, and act in real time.