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CloudParc Smart City Platform: the "missing link" between parking, transportation and infrastructure

CloudParc's disruptive platform uses advanced machine vision and artificial intelligence to fully automate the entire parking lifecycle.

Photo of Dana Klein
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Currently, most municipalities only collect 20-30% of their potential revenue from parking which comes from metering and violations.  30% of all congestion is caused by people looking for parking spaces.   In most cases, it's not clear how much the municipality actually spends on parking and in some cases, it's equal to what they take in and dismissals are high due to human error.  Parking infrastructure and manpower is very expensive and has never been fully automated before.  Further, parking is a problem for cities and drivers and effects most things in a city- economic development, real estate development, traffic, transportation, safety, zoning, land use, etc.   Finally, there is no other hub for parking, transportation, and infrastructure which we will need for future applications and smart mobility.  CloudParc is a smart city platform with parking as its first use case.  

We help find people parking and capture 2-4x's more violations and automate metering so it's precise and transparent.  Our machine learning (artificial intelligence) with computer vision (cameras) increase revenues, lowers expenses, and is sustainable.  We can provide autonomous vehicles extra eyes and municipalities with smart infrastructure for those vehicles.  We can provide curbside management and control, security use cases, infrastructure maintenance, etc.  and all with the same equipment in the same place.  Finally, the system gets smarter the longer it's in play and learns the environment for customized programs.  

Features include:

 - Real time data capture-  All in one solution-  DSRC and drone technology - Provides personalized services to mesh with clients infrastructure and needs  - Tracks traffic flow -  Virtual permitting - Extended vision and other use cases for autonomous cars and ride shares for sustainability - Dynamic/variable/incentive pricing based on stakeholder needs, demand, progressive violation, dimension, emissions, and more - Offers features applicable to or as smart city hubs -  Use cases for autonomous vehicles, electric cars, and ride shares-  Valuable use cases for rural transportation - Other data use cases for developers, planners, data analytics, transportation consultants - Offers data gathering, security, land use planning information, infrastructure maintenance, transportation, communications, resiliency, and logistics opportunities   -Becomes more relevant as the municipalities and automobiles become smarter

Describe who will use your solution (1,000 characters)

Municipalities, Airports, Ports, Campuses, Facilities,Parking Lots, Security, Infrastructure Maintenance, Transportation and Transit, and Data subscribers. Open to joint ventures, subcontracting, any win-win scenario.

Describe your solution's stage of development

  • Prototype - you have built a prototype and tested it with potential users

Tell us about your team or organization (500 characters)

Leadership team: Steven Neyaroff, co-creator of Ethereum, the bitcoin platform, Jeff Pulver Founder of Vonage also known as Father of "VoIP" as he wrote the protocol and invented it, and Kam Ghaffarian builds space stations for the Federal Government. We have 23 patents, 42 international and 10 approved. We are software using cameras to capture real time data, digest, distribute and even act on it for multiple purposes and multiple users with the same equipment in the same location.

Size of your team or organization

  • 11-50

Funding Request

  • $75,000

Describe how you would pilot your idea (1000 characters)

Our pilot would demonstrate automatic occupancy detection, automatic metering, automatic dynamic and variable pricing, and automatic capture and enforcement of violations. Our technology is sustainable. The longer it's in play, the smarter it becomes,adapting to the environment. We are also outfitted for autonomous vehicles and can be used by multiple users for multiple purposes. We have drone and DSRC technology. Anyone else who wants to get in the space must first find a way around our 23 patents and put in the time for machine training- a process you can't "leap frog". We have three different business models, a public private partnership on the gain share on the lowered expenses and increased revenues, fee for service, and hybrid. We intend to sell licenses and data subscriptions. We can work with contractors as a sub contractor, resllers, licensees, etc. and are open to many conversations. With our extensive patent portfolio, we can work with an unlimited amount of stakeholders.

Describe how you would measure the success of your pilot (1000 characters)

To prove that we can increase capture 2-4x's and lower expenses and dismissals in parking by at least half. To prove to the public in that area that the technology works To prove the viability of other use cases outside of parking To gain interest in the local area to install To roll out into an area and eventually layer on other use cases


Join the conversation:

Photo of Tom Bulten

Hi Dana: Thank you for submitting a proposal for the sticky problem of parking. I'm one of the facilitators here on the Grand Rapids forum. I see that you've answered several questions from KatieWalsh 100 on the Miami forum. I'll link to that conversation so that Grand Rapidians can learn more details:

I assume that a useful pilot here in Grand Rapids would be in a public street or a publicly- or privately-owned parking structure or lot. The platform's camera-based machine vision would offer open spaces (occupancy detection) and payment services for those employees or drivers that are using the smart phone app.

Photo of Dana Klein

Absolutely. We would demonstrate automatic occupancy detection, automatic metering, automatic dynamic and variable pricing, and automatic capture and enforcement of violations.