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City intersection at night

NexVDO Solutions · Smart city

Roadside video pipelines on edge compute.

Deploy multi-camera ingest and detection without shipping video to someone else's cloud.

NexVDO Solutions · Smart city

Why edge for smart city

01

Keep camera traffic local

Multi-camera RTSP and ONVIF ingest stays on the edge system. Cloud transport is not the only path for live feeds.

02

Analyze where video arrives

Flow monitoring and incident or scene detection run at the edge. The pipeline does not depend on cloud-only analysis.

03

Send events upstream

Edge-to-cloud event metadata gives downstream systems the event context without making every live feed the default payload.

Proven patterns

Start with the camera job. Pair the modules with real hardware.

Start with the camera job. Pair the required SDK modules with real YUAN hardware.

01

Multi-camera RTSP and ONVIF ingest

Bring multiple network-camera feeds into one edge pipeline for local processing and output.

SDK modules

CaptureStream

Recommended hardware

  • VPP6N0-S AGXJetson AGX Orin · 275/200 TOPS
  • EDG6N0-S T5XJetson Thor T5000/T4000 · 2070/1200 FP4 TFLOPS
02

Flow monitoring

Apply pedestrian and vehicle flow monitoring at the edge and emit event metadata for downstream systems.

SDK modules

AnalysisStream

Recommended hardware

  • VPP6N0-S AGXJetson AGX Orin · 275/200 TOPS
03

Incident and scene detection

Run scene recognition, object detection, tracking, and Object-Appear-in-Area against live feeds.

SDK modules

Analysis

Recommended hardware

  • EDG6N0-S T5XJetson Thor T5000/T4000 · 2070/1200 FP4 TFLOPS
  • VPP6N0-S AGXJetson AGX Orin · 275/200 TOPS
04

Audio backchannel for voice warning

Return a voice warning from the client to the edge endpoint through Audio Backchannel over ONVIF or RTSP.

SDK modules

Stream

Recommended hardware

  • VPP6N0-S AGXJetson AGX Orin · 275/200 TOPS
05

Edge-to-cloud event metadata

Package detection events as metadata for cloud delivery while the local edge pipeline keeps the camera workflow running.

SDK modules

AnalysisStream

Recommended hardware

  • VPP6N0-S AGXJetson AGX Orin · 275/200 TOPS
  • EDG6N0-S T5XJetson Thor T5000/T4000 · 2070/1200 FP4 TFLOPS

Capture → process → output

Keep the video path at the roadside.

IP cameras send RTSP or ONVIF feeds to YUAN Edge hardware. NexVDO Capture and Stream establish the inputs. Analysis runs flow monitoring, scene recognition, object detection, and tracking. The edge system sends event metadata and selected stream output to cloud services. Audio Backchannel returns voice warnings over ONVIF or RTSP.

Published ingest, analysis, audio, and hardware facts for a roadside video pipeline. Unpublished detail remains marked.

Pipeline jobPublished pathHardwareSDK moduleStatus
Camera ingestRTSP, ONVIFVPP6N0-S AGX / EDG6N0-S T5XCapture + StreamPublished
Flow monitoringPedestrian and vehicle flowVPP6N0-S AGXAnalysisPublished
Incident and scene detectionObject detection, tracking, Object-Appear-in-AreaEDG6N0-S T5XAnalysisPublished
Voice warningAudio Backchannel over ONVIF and RTSPVPP6N0-S AGXStreamPublished
Edge-to-cloud outputEvent metadata, cloud streamingVPP6N0-S AGX / EDG6N0-S T5XAnalysis + StreamPublished
Protocol detailRTSP and ONVIF versionsYUAN Edge hardwareStreamProtocol versions — pending publication

YUAN Edge hardware

Every pattern runs on named hardware

The systems and capture families above come from the YUAN Edge lineup — review them together before your evaluation.

See YUAN Edge hardware

Build resources

Published material stays with the supported evaluation path. Missing artifacts stay visible as honest states.

  • Sample pairings

    Capture hardware, edge systems, and SDK modules arranged by pipeline job.

    published with evaluation access
  • Reference architecture

    A signal-to-output architecture for this vertical.

    in preparation
  • Developer hub

    Module guides, support routes, and integration notes.

    Go to the developer hub

Related solutions

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