Join us to participate in the upcoming 2019 City:One Challenge. 


I am the innovator and the CEO of the company. I do a bit of everything, Hardware and Software design, marketing and sales

Photo of Christos Pateropoulos
0 1

Written by

Parking control in the streets today, is a rather inefficient and very expensive task and is being done from teams cruising the city on feet or in vehicles, trying to identify vehicles that didn't pay.

To fully automate this process, we propose the installation of license plate recognition cameras at the beginning of each street (patent pending solution).

Like that we can register the time each vehicle spends in a street and by correlating with the electronic payments we can issue fines and send them home automatically (e-citation).

Furthermore our system can be used for lots of smart city functions such as: parking finding (smart parking), control of street light and traffic light, delivery vehicle monitoring, sound detection (eg. shootings), suspicious and stolen vehicle finding.

Last but not least we plan to use our system as a vehicle to infrastructure communication node.

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

The solution has two end users: a) the cities will have a console for monitoring vehicle flow, traffic. In case of having a city parking control team then this team through an application they will have the chance to identify vehicles that didn't pay b)the motorist: they will use mobile applications to have guidance towards the nearest available parking spot close to the destination.

Describe your solution's stage of development

  • Prototype - you have built a prototype and tested it with potential users
  • Pilot - you have implemented your solution in a real-world scenario
  • Ready to Scale - you have completed and expanded your pilot and are seeing adoption of your solution by your intended user

Insights from previous testing (500 characters)

works like a charm. The pilot we had was only in one street in the city of Rafina but since both the idea and the implementation is very simple, all went as planned. What was not implemented in the pilot was the night vision and this is why our next cameras have IR leds.

Tell us about your team or organization (500 characters) our core team has three core members. -Christos (CEO) has worked for big international companies, with focus on electronics, innovation and marketing and has big experience from the Automotive industry. -Luca is our networking, automation and data management expert with big experience in IoT and Software Elena used to be CEO of an inforex SA and my expertise is in Sales, financing and management.

Size of your team or organization

  • 2-10

Funding Request

  • $100,000

Rough Budget (500 characters)

the cost of one camera is in the order of 800USD. Taking into account a target installation cost of 1kUSD and that we need 1.5 cameras per street then we could cover at least a pilot with 30streets (70K USD in total) . Then we have on the side $30k USD for operational expenses and small surprises.

Describe how you would pilot your idea (1000 characters)

As described above we would install our automatic parking enforcement system preferably in the city center of Indianapolis (30 streets). We need need to install one ALPR camera at the beginning of each target street (one way street scenario) . With the cooperation of the city we would like to apply dynamic pricing algorithms and see their effect on revenue and parking availability.

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

The succes of the pilat would have three dimentions 1) revenue increase for the city 2) parking availability for the motorists 3) delivery vehicle monitoring and efficiency (possibility to charge delivery vehicle proportionaly to their delivery time/delay)

Sustainability Plan (500 characters)

YES we do. Our idea is based on revenue sharing based on the unpaid parking identification and the e-citations.


Join the conversation: