01Vision AI ISVs · Video analytics teams
Multi-Camera Edge AI
Map camera inputs, synchronization, edge compute, and application software as one design-in path for a video analytics product or sensor platform.
Explore the design-in path
VIDEO-NATIVE EDGE AI / DESIGN-IN
Make every frame part of the system.
YUAN brings capture I/O, FPGA, drivers, edge compute, NexVDO SDK, and production engineering into one design-in path for video-intensive systems.
Performance, capacity, power, and thermal behavior are validated against a documented configuration—not treated as universal product claims.
SYSTEM VIEW
Source to operation
NEXT STEP
Configuration review
- 01Input
- Camera, video, audio, metadata, and sensor interfaces
- 02Signal
- FPGA, timing, drivers, firmware, and memory movement
- 03Compute
- Supported NVIDIA and x86 platforms shaped by the workload
- 04Software
- Capture, record, stream, analyze, and application handoff
01 / THE COMPLETE PATH
Edge AI begins before the model receives a frame.
Follow the physical source through timing, memory movement, compute, inference, application behavior, and field operation. Select a stage to see the questions an architecture review should make explicit.
Video-native pipeline
Active stage 01
Capture
Professional and embedded video or sensor inputs
02 / DESIGN-IN PATHS
Start with the system you need to ship.
Four paths organize the buying committee around a specific architecture, evaluation checklist, and production decision. Each page uses its own source, software, and operating context.
01
02VMS and analytics ISVs · Security and surveillance SIs
AI NVR Modernization
Define how SDI, HDMI, IP, or mixed camera sources feed edge inference, recording, event workflows, and the systems your operators already use.
Explore the design-in path
01 / 0301 / Source reality
Design around the frames that must enter the system.
Professional video, embedded cameras, encoded streams, audio, and metadata each establish different timing, control, and ownership boundaries. A credible architecture starts by recording those details source by source.
02 / 0302 / System boundary
Treat capture, compute, and software as one path.
Frame movement continues through FPGA logic, drivers, memory, preprocessing, runtime, application behavior, and the physical platform. Reviewing those layers together exposes missing interfaces before they become late-stage integration work.
See the complete video-native path in motion.
Frames begin in a physical environment and continue through system coordination, inference, and operation. The architecture review keeps that complete path in view.
03 / 0303 / Production evidence
Carry a documented configuration into validation.
Results only become useful when the source, software versions, compute target, power mode, thermal state, duration, and acceptance rule travel with them. The review defines what must be measured; product qualification remains configuration-specific.
03 / ONE DESIGN-IN BOUNDARY
Connect the layers before committing the platform.
The architecture review is a working boundary across source, hardware, compute, and software decisions. It identifies what is supported, what still needs confirmation, and who owns the next piece of evidence.
- 01
Source reality
Start with the actual interfaces, source count, formats, timing, metadata, and environmental constraints.
- 02
Hardware enablement
Map capture I/O, carrier design, FPGA, synchronization, drivers, firmware, and mechanical boundaries.
- 03
Edge compute
Choose a supported NVIDIA or x86 target from the complete workload, not a compute headline alone.
- 04
Video AI software
Connect capture, recording, streaming, and analysis through supported NexVDO SDK workflows.
04 / COMPARE THE STARTING POINT
Choose a path by integration boundary—not by a headline specification.
These routes are architecture starting points, not performance rankings. Each one names the configuration details and evidence that should be reviewed before a production decision.
01
Multi-camera pipeline
- Fits when
- A vision product must align several camera or sensor paths with one inference application.
- Review first
- Interfaces, formats, timing, metadata, preprocessing, runtime, and system ownership.
- Evidence to collect
- A representative source-to-application configuration with explicit acceptance rules.
02
AI NVR modernization
- Fits when
- An existing video estate needs a defined edge analytics, recording, or event path.
- Review first
- Source inventory, decode, retention, VMS integration, alerts, and operating handoff.
- Evidence to collect
- Compatibility and workflow validation with representative cameras, streams, and software.
03
Robotics perception
- Fits when
- Cameras and sensors must become a time-aligned perception input for a robot or AMR.
- Review first
- Sensors, triggers, clocks, carrier interfaces, power, thermal, runtime, and control boundary.
- Evidence to collect
- A target-platform evaluation that includes the intended sensor and operating states.
04
Industrial vision
- Fits when
- A machine or line requires repeatable capture, inspection, evidence, and control integration.
- Review first
- Trigger path, lighting, optics, I/O, inspection graph, reject action, and service workflow.
- Evidence to collect
- A line-representative validation plan with traceable inputs, versions, and decision criteria.
05 / PREPARE THE REVIEW
Turn requirements into testable evidence.
Arrive with the real source, workload, and physical constraints. The review maps a candidate boundary and the next credible evaluation step; it does not replace final qualification, compliance, or system-safety work.
- 01
Bring the sources
List interfaces, formats, channel count, timing, metadata, and the real operating environment.
- 02
Describe the workload
Share decode, preprocessing, model runtime, application logic, recording, and streaming needs.
- 03
Define the boundary
Record power, thermal, mechanical, software, ownership, compliance, and production constraints.
- 04
Choose the evidence
Agree on the target configuration, measurement points, duration, and acceptance rules.
VALIDATION RECORD
Keep the configuration attached to every result.
Capture the source and sink, resolution, frame rate, codec, model, runtime, software versions, platform, power mode, thermal state, duration, measurement points, and acceptance rule.
ARCHITECTURE REVIEW
The YUAN USA team routes the request to the relevant product and integration specialists, then identifies the next credible step.
HARDWARE EXPERT
Ask which source, compute, software, and production constraints to include before you contact the design-in team.
YOUR NEXT DESIGN-IN DECISION