Holoscan Framework/Basics and Foundations/Ecosystem: Difference between revisions

Holoscan Framework/Basics and Foundations/Ecosystem (view source)

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 == Holoscan Sensor Bridge ==
-The Holoscan Sensor Bridge is one of the various hardware components of the Holoscan ecosystem. It acts as a bridge between various camera sensors and the Holoscan platform, enabling seamless data ingestion and processing. By standardizing sensor interfaces and providing efficient data transfer mechanisms, the Sensor Bridge simplifies the integration of diverse sensors into Holoscan applications.
+The Holoscan Sensor Bridge extends the capabilities of the Holoscan Framework by serving as a versatile interface for integrating diverse sensors into real-time AI applications. Sensors such as cameras, LiDAR, and medical imaging devices produce massive amounts of data that must be ingested, synchronized, and processed with minimal delay. The Sensor Bridge simplifies this process, acting as the critical link between hardware sensors and AI-driven insights.
+Capabilities of the Holoscan Sensor Bridge:
+* '''Sensor Integration''': Supports a wide variety of sensors, including high-definition cameras, ultrasound probes, and industrial LiDAR devices. Provides out-of-the-box support for popular data transfer protocols like GMSL2, GMSL3, and Ethernet-based sensors. At the moment, it is experimental and support cameras only.
+* '''Low-Latency Data Ingestion''': Ingests high-bandwidth data streams in real-time, preserving the temporal accuracy needed for low-latency applications such as AR overlays or surgical guidance. It uses DPDK-compatible ethernet for better latency.
+* '''Data Synchronization and Processing''': Synchronizes multi-sensor inputs to ensure coherent data streams, even in complex setups with multiple devices. Allows for pre-processing operations, such as filtering, normalization, or compression, before feeding data into AI inference pipelines.
+* '''Edge Scalability''': Optimized to run efficiently on NVIDIA edge platforms like the Jetson Orin and IGX Orin. It can scale from single-sensor setups to large, distributed systems with multiple inputs.