01 / 03Source reality
Start with every camera path, not an average stream.
Record each source, interface, image format, timing requirement, and metadata path before selecting capture or compute hardware.
Multi-Camera Edge AI
Move a multi-camera vision pipeline toward production.
Map camera inputs, synchronization, edge compute, and application software as one design-in path for a video analytics product or sensor platform.
Explore the system path
System operating context
Designed for
- Vision AI ISVs
- Video analytics teams
- Camera and sensor OEMs
The integration gap
A model and a camera are not yet a production system.
The architecture still has to preserve source context, move frames into the compute path, and define who owns every layer from driver to application.
- 01
Mixed source requirements
Camera count, interface, resolution, frame rate, metadata, and synchronization requirements affect the complete ingest design.
- 02
Compute is workload-specific
The target platform depends on decode, preprocessing, inference, application logic, power, and thermal constraints—not TOPS alone.
- 03
Prototype ownership is fragmented
Camera, carrier, driver, BSP, model, SDK, enclosure, and production test responsibilities need an explicit owner before design-in.
Architecture review
Review the path from camera to application.
YUAN maps the supported signal path and identifies the interfaces, validation work, and ownership boundaries that require confirmation.
Multi-Camera Edge AI
Active stage 01
Capture
Camera interfaces, channel count, formats, and metadata
Evidence before performance claims.
Performance is configuration-specific. The review defines the target, test configuration, and evidence needed before latency, frame integrity, stream density, power, or thermal results are treated as claims.
Follow the operating path
See where source reality becomes a production decision.
01 / 03
02 / 03System boundary
Place capture, synchronization, and compute on one ownership map.
The review identifies where a camera, capture device, host, driver, runtime, and application exchange frames and control data.
Put the complete multi-camera path in motion.
Every camera view belongs to a larger operating path. Follow the sources through synchronized activity, system coordination, and the application that consumes the result.
03 / 03Operating handoff
Design for the application that consumes every result.
Inference output still needs event handling, recording, streaming, observability, and a defined handoff to the product or fleet layer.
Choose the ingest pattern before the platform.
These are architecture starting points, not performance rankings. The review confirms model-level compatibility and the evidence each path needs.
01
Professional baseband
- Fits when
- Sources arrive through supported SDI or HDMI paths and timing must remain explicit.
- Review first
- Connector, format, resolution, frame rate, audio, metadata, and host interface.
- Evidence to collect
- End-to-end capture behavior under the representative source and workload.
02
Embedded camera
- Fits when
- The product uses supported GMSL, USB, or embedded sensor interfaces inside one enclosure.
- Review first
- Camera module, trigger, synchronization, driver, cabling, power, and mechanical boundary.
- Evidence to collect
- Sensor alignment, thermal state, and application behavior in the target enclosure.
03
Network video
- Fits when
- Encoded or AV-over-IP sources already exist across a site or distributed product.
- Review first
- Protocol, codec, bitrate, clock, network topology, decode, and recovery ownership.
- Evidence to collect
- Representative network, decode, inference, event, and operating-state validation.
Architecture review
Turn what you know into a testable system brief.
Bring to the review
Start with the constraints you already know.
- Camera models, interfaces, and channel count
- Resolution, frame rate, codec, and metadata
- Synchronization or trigger requirements
- Model runtime and preprocessing graph
- Power, thermal, and form-factor limits
- Prototype, validation, and production stage
Review output
Leave with a clearer evaluation path.
- Candidate ingest and compute architecture
- Interface and software responsibility map
- Configuration-specific validation questions
- Evaluation, proof-of-concept, or design-in next step
Related YUAN capabilities
Continue with product and software evidence.
Evaluation questions
Separate current decisions from the items that still require testing.
Can YUAN select a platform from a model requirement alone?
A useful selection also needs the source count, formats, preprocessing, runtime, application load, power, thermal, and mechanical constraints.
Does the review guarantee a stream count or latency?
No. Those are configuration-specific results. The review defines the target and the benchmark configuration needed to validate it.
Can the design use an existing camera or sensor?
Possibly. Share the exact interface, format, timing, driver, and control requirements so compatibility can be reviewed against supported hardware and software.
Prepare the technical brief
Ask the YUAN hardware expert which inputs and constraints belong in your review.
Other design-in paths
Review another system pattern.
YUAN USA design-in
Bring us the architecture before the component list is fixed.
Share the video sources, software workload, physical constraints, project stage, and production intent. The YUAN USA team will route the review to the relevant product and integration specialists.