Researchcomputer visiondigital twindashcam imagerynexar
City Implements AI Monitoring For Sidewalk Sheds
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Cornell Tech researchers led by Prof. Wendy Ju trained an AI model on 29 million Nexar dashcam images to map New York City’s sidewalk sheds, confirming more than 5,000 active permitted structures and about 500 unpermitted or expired ones. The team proposes a public "Shedfolio" digital twin and continuous monitoring to prioritize inspections and accelerate takedowns. They urge the DOB to partner with researchers and computer-vision firms.
Scoring Rationale
Strong Cornell Tech methodology and direct municipal applicability, limited by single-city demonstration and reliance on private dashcam data partnerships.
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