NEXVDO SDK — ANALYSIS

Your models, against live video, on-device.

Run detection, segmentation, recognition, and behavior analysis against live video. Deploy on cloud or edge systems with NVIDIA and Intel GPUs.

Illustrative sketch - not a published API
frame = live_video_frame
model = custom_weights_path

result = analyze(frame, model)
output = detection | segmentation | counting | text_recognition
deployment = edge | cloud
Content · biometric · behavior
NVIDIA · Intel GPUs
Cloud · edge

ANALYSIS CAPABILITIES

Three analysis blocks. One live-video path.

CONTENT ANALYSIS

Detect, segment, count, and match

Run object detection, image segmentation, classification counting, and feature matching. Read license plates and other text in the frame.

BIOMETRIC ANALYSIS

Analyze faces from more than one angle

Run face recognition and multi-angle face analysis. Classify age, gender, and expression.

BEHAVIOR ANALYSIS

Turn skeleton data into event states

Use a 17-keypoint skeleton for posture and movement analysis. Detect falling, wandering, and throwing events across continuous video.

PUBLISHED SURFACE

The capability blocks are published. Runtime details are not.

YUAN publishes the analysis functions, deployment locations, and GPU families. Model formats and custom-weights mechanics remain unpublished.

Analysis capability blocks × published functions × compute and delivery surface.
Capability blockPublished functionsCompute and delivery
Content analysisDetection · segmentation · counting · feature matching · license-plate and text recognitionCloud · edge · NVIDIA and Intel GPUs
Biometric analysisFace recognition · multi-angle · age · gender · expressionCloud · edge · NVIDIA and Intel GPUs
Behavior analysis17-keypoint skeleton · fall · wander · throw detectionCloud · edge · NVIDIA and Intel GPUs
Generative AI featuresEverything Detection · Everything Segmentation · Image DescriptionFeature-to-platform mapping — pending publication
Custom weights pathQDEEP path documentedQDEEP mechanics — pending publication
Model formatsAccepted model formats — pending publicationRuntime mapping — pending publication

MODEL TO DECISION

Keep live video and analysis in one deployment path.

The Analysis module applies content, biometric, and behavior functions to live video. YUAN publishes cloud and edge deployment with NVIDIA and Intel GPU integration.

YUAN announced Everything Detection, Everything Segmentation, and Image Description in March 2024. The documented QDEEP custom-weights path exists. Its mechanics and accepted formats remain pending publication.

01Live video
02Custom weights
03Analysis
04Decision
Illustrative Analysis pipeline from live video to a decision

EVALUATION ARTIFACTS

Proof arrives with a named state.

Nothing is represented as public until it is public.

Datasheet

Datasheet — pending publication

Sample code

Sample code — published with evaluation access

Compatibility matrix

Compatibility matrix — pending publication
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Run your model on the target edge system

Included free with YUAN hardware, delivered through a supported evaluation path — engineer answer within 48 hours.

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Share the video source, target hardware, and model goal. An engineer answers with scope.