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CloudParc uses machine learning and computer vision to capture, digest, distributes, and act on real time data
CloudParc captures, digests, distributes, and acts on real time data and provides the "missing link" between transportation, parking, and infrastructure. CloudParc's disruptive platform automates the entire parking lifecycle including detect  parking space availability, add dynamic/variable pricing, meter automatically, capture and enforce parking violations, collect payment, and more as well as track real time traffic and incident data, and provide security/surveillance, private intelligence and many other smart city applications.  

CloudParc uses machine learning with computer vision with dynamic cameras to pick real time data. Though parking is the first use case, there are other applications available that can be applied to almost all levels of smart city including infrastructure maintenance, security, transportation, and data analytics, The technology can be adjusted per municipality per need, is extremely sustainable, and can be used by multiple users for multiple purposes at the same time.

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  • Location

    111 Great Neck Road, Suite 510 Great Neck, New York 11021

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