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JumpFlow

AI counting system · Built for Hong Kong rope skipping

Camera + DGX Spark,speed counts on the floor.

Webcam + NVIDIA DGX SparkAI human trackingMulti-skill counting

We provide the webcam and NVIDIA DGX Spark setup on site for real-time inference. AI human tracking counts live — single rope, side-straddle, crosses, double unders and more, not only single-rope speed. Cuts manual tally load and error, with video kept for post-event review.

JumpFlow AI Counting

Automatic counting on site — near human-judge level

Webcam + NVIDIA DGX Spark kit, AI human tracking, and multi-skill support from single rope to double unders.

  1. 01

    Webcam + NVIDIA DGX Spark kit

    Hardware on site

    We bring webcams and NVIDIA DGX Spark to your venue for real-time on-site inference — set up and run live. You don't need your own hardware or reliable venue Wi-Fi.

  2. 02

    AI human tracking

    Human tracking

    Cameras track the athlete's body and foot paths in real time so you can see how each jump is counted — measured accuracy above 98%.

  3. 03

    Single rope · side-straddle · crosses · double unders

    Multi-skill

    Not only single-rope speed — also side-straddle (開合跳), crosses, double unders and other common skills for championship and school events.

  4. 04

    Multi-lane + video review

    On-site + audit

    One NVIDIA DGX Spark can process several lanes in parallel with faster-than-realtime results; every heat keeps video for dispute review.

JumpFlow AI Counting

Real hardware · Real accuracy

From the webcam + NVIDIA DGX Spark kit we provide, to AI human-tracking frames — clearly visible end to end, easy to review after the event.

Webcam + DGX Spark on site

01

Webcam + DGX Spark on site

Event-day inference runs on NVIDIA DGX Spark — webcam feeds, live count on screen.

AI human tracking

02

AI human tracking

Annotated frames show body / foot paths and step-by-step counts — you can see how it tracks and tallies.

Predicted vs labeled

03

Predicted vs labeled

Test clips align Predicted with Ground Truth — errors are auditable.

JumpFlow AI Counting

Setup to score, in four steps

On event day we bring the kit, power on, and deliver live results — short and stable by design.

  1. 01

    We set up webcam + DGX Spark

    We provide webcams and NVIDIA DGX Spark, place them for your floor plan, map every lane to a camera input, and run real-time inference on site.

  2. 02

    Ready the next heat

    Operators mark the next heat ready on the console — then start time and lane mapping lock in.

  3. 03

    AI human tracking counts live

    Once athletes start, human tracking accumulates jumps — single rope, side-straddle, crosses, double unders and more; console or display updates in real time.

  4. 04

    Sync scores + keep video

    Results land when the heat ends; recordings stay available if you need a post-event review.

JumpFlow AI Counting

Built for rope-skipping counting on the floor

Overall counting accuracy
98%+
Average error (jumps)
±1
Single · straddle · cross · double
Multi-skill
Webcam + DGX Spark on site
Full kit

JumpFlow AI Counting

Next speed event — count with AI.

Includes webcam and NVIDIA DGX Spark setup for real-time on-site inference; quoted by event size. Short online or on-site demos available so your team can verify human tracking and multi-skill counting.