Brazil Egocentric Household & Commercial Video Recording Project (Head-Mounted Mobile) | $7.5 USD/Hour
Pain Points (Public)
Embodied AI and robotics teams struggle to scale reliable first-person (egocentric) physical video collection across international households and retail sites. Managing remote crowd-workers using head-mounted smartphones often produces unusable datasets due to improper camera pitch angles, excessive motion blur, variable frame rates, and the accidental capture of personally identifiable information (PII) in private environments.
Suggested Approach (Public)
Implement a distributed egocentric data sourcing workflow featuring a specialized mobile client that uses device IMU sensors to ensure proper head-mount leveling and structured task prompts. Couple this with an automated server-side pipeline utilizing FFmpeg and OpenCV to validate video resolution, flag motion artifacts, and run automated face and screen blurring before ingesting footage into training storage.
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Opportunity assessment PRO
Development brief PRO
- Position a specialized mobile capture app specifically configured for head-mounted egocentric video data collection in household and commercial environments.
- Build a head-mounted camera capture interface with fixed orientation, continuous recording, and session time tracking.
Competitor evidence PRO
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Public Demand Evidence · 2 task(s)
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