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arXiv Robotics — research abstracts· Senthil Palanisamy, Satpal Singh Rathore, Pratyush Kumar Patnaik, Shubhanshu Khatana, Gunjan Paul, Abhishek Anand·· 2 days agoSignalEditorial score72

Ego-OSCAR: Egocentric Open Source Stereo CAptuRe System

Ego-OSCAR: Egocentric Open source Stereo CAptuRe System

Summary

Ego-OS, an open-hardware head-mounted capture platform, is presented as a low-cost, reproducible solution for egocentric vision. It combines a global-shutter stereo camera with a 6-axis IMU, Linux SBC, and real-time microcontroller for synchronization. The system includes CAD, firmware, and a dataset of 550 hours of stereo video from 25 contributors, with model-predicted annotations rather than raw video.

Editorial context

The paper introduces Ego-OSCAR, an open-source, low-cost head-mounted capture system for egocentric vision, emphasizing its affordability and reproducibility. It includes stereo cameras, IMU, and synchronization tools, with a dataset of 550 hours of stereo video. The system's calibration and annotation layers are automatically generated, though not human-verified.

Source: arXiv Robotics — research abstracts · Read original article ↗

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What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • Reported duration

    550 hours

    View original evidence
    camera and inertial clock domains to a residual of 700 microseconds and watchdogs the recording against silent failure. We release the full stack alongside the device: CAD, firmware, recording and time-synchronization tooling, and our corpus, roughly 550 hours of stereo video over 1,462 sessions and 25 contributors, every device shipping its own stereo calibration. The corpus ships with model-predicted annotation la
    Open source S4
  • sessions

    >1,462

    View original evidence
    camera and inertial clock domains to a residual of 700 microseconds and watchdogs the recording against silent failure. We release the full stack alongside the device: CAD, firmware, recording and time-synchronization tooling, and our corpus, roughly 550 hours of stereo video over 1,462 sessions and 25 contributors, every device shipping its own stereo calibration. The corpus ships with model-predicted annotation la
    Open source S4
  • contributors

    25

    View original evidence
    camera and inertial clock domains to a residual of 700 microseconds and watchdogs the recording against silent failure. We release the full stack alongside the device: CAD, firmware, recording and time-synchronization tooling, and our corpus, roughly 550 hours of stereo video over 1,462 sessions and 25 contributors, every device shipping its own stereo calibration. The corpus ships with model-predicted annotation la
    Open source S4
  • code: not_reported
  • weights: not_reported
  • dataset: not_reported
  • paper: not_reported

What remains unknown

Dataset licensing and commercial-use rights are not established here.

Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

yers rather than raw video alone, including per-frame 3D hand reconstructions spanning essentially the whole timeline; these are automatic predictions, not human-verified ground truth, and we report them as such. We characterize the instrument along sensor fidelity, data utility, and six months of distributed field deployment. Our system is not the highest fidelity egocentric rig; it is the cheapest one a reader of t

Open source S5

arXiv:2608.08285v3 Announce Type: replace-cross Abstract: Egocentric vision has scaled its corpora far faster than its instruments. Calibrated stereo rigidly coupled to a synchronized inertial stream is not new; research-grade headsets deliver it. What does not exist is an open version: those platforms are closed products a third party cannot build or extend, and the consumer cameras used elsewhere are monocular and

Open source S2

camera and inertial clock domains to a residual of 700 microseconds and watchdogs the recording against silent failure. We release the full stack alongside the device: CAD, firmware, recording and time-synchronization tooling, and our corpus, roughly 550 hours of stereo video over 1,462 sessions and 25 contributors, every device shipping its own stereo calibration. The corpus ships with model-predicted annotation la

Open source S4

rolling-shutter. The instrument is the least reproducible part of an otherwise open pipeline. We present our system, an open-hardware head-mounted capture platform, at a complete bill of materials under USD 200 in commodity parts and 3D prints. It pairs a hardware-synchronized global-shutter stereo camera with a 6-axis IMU, an embedded Linux SBC for on-device encoding, and a real-time microcontroller that bridges the

Open source S3

Implications for data suppliers

RoboSignal interpretation and collection questions, not statements of buyer demand.

  • Confirm the required data type and collection setting with the buyer; this source does not establish a complete collection specification.
  • Compare the reported units and scope before using these quantities in a budget. Recording hours, sensor-hours and trajectories are different measures.
  • Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.

Source:arXiv Robotics — research abstracts · arxiv.org

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