# jyjblrd/Low-Cost-Mocap

Low cost motion capture system for room scale tracking

Repository: https://github.com/jyjblrd/Low-Cost-Mocap
Canonical: https://ross.abutalabs.com/products/low-cost-mocap
Language: TypeScript
License: MIT
License Family: permissive
Topics: autonomous-robots, bundle-adjustment, computer-vision, epipolar-geometry, motion-capture, motion-tracking, quadcopter, esp32
Last push: 2024-05-25T14:50:19+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 80
- inputs: {"age_days": 1131, "days_push": 830, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2421, forks 406 (observed 2026-08-28T04:06:50.537748+00:00)

## What it is
A low-cost, room-scale motion capture system built with PlayStation cameras and ESP32 hardware, used to track objects and autonomously fly multiple drones indoors. It combines a Python backend performing computer-vision mocap computations with a TypeScript web frontend for visualization and control.

## Use cases
- track drones indoors with cheap cameras
- build a DIY motion capture system
- autonomous multi-drone indoor flight
- room-scale object tracking for robotics research
- low-cost alternative to Vicon or OptiTrack mocap

## When to choose
- you need motion capture on a budget using off-the-shelf cameras
- you want to fly quadcopters autonomously indoors without expensive mocap hardware
- you're doing robotics research requiring external (outside-in) position tracking

## When to avoid
- you need production-grade mocap precision like commercial Vicon systems
- you want an inside-out SLAM solution without external cameras
- you need polished documentation and easy setup - compiling OpenCV with SFM is required

## Facets
- artifact type: application
- maturity: active
- function: computer-vision, graphics, simulation
- domain: robotics, computer-vision, autonomous-vehicles
- platform: python
- tags: motion-capture, drones, esp32, bundle-adjustment, quadcopter, tracking, nodejs, linux, web-server

## Member repositories
- jyjblrd/Low-Cost-Mocap (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:50.537748+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:33:03.625820+00:00, confidence not recorded.
  - readme: https://github.com/jyjblrd/Low-Cost-Mocap (fetched 2026-08-28T04:06:50.537748+00:00, sha 2479374d9f46)
- Data as of 2026-08-30T08:39:29.467469+00:00.