Searching for parking spaces in the cities, especially during the rush hours, is an arduous job for daily commuters. The demanding situation arises from not knowing if the parking space is available or not. A lot of time and energy is drained in searching for a car parking space. Fuels consumption on searching parking space is also high. Even if we knew the parking place, many vehicles might pursue minimal parking space to cause severe traffic congestion. With open-source libraries, we can build our own intelligent parking system. Build your own intelligent parking system by following below steps: 1. Development Environment 2. Data Analysis 3. Mobile Application
Development Environment
Arduino is used for writing and uploading the program and storing the data in the cloud.
C++ 5978 Version:v6.20.0
C++ 5978 Version:v6.20.0 License: Permissive (MIT)
C++ 1319 Version:0.8.0
C++ 1319 Version:0.8.0 License: Permissive (MIT)
JavaScript 30 Version:v0.1.3
JavaScript 30 Version:v0.1.3 License: Strong Copyleft (GPL-3.0)
Mobile Application
Users can use the following libraries to check the status of parking spaces using mobile instantly.
Java 24 Version:v0.41.17
Java 24 Version:v0.41.17 License: Strong Copyleft (GPL-3.0)
Java 66 Version:20200219-102312
Java 66 Version:20200219-102312 License: Strong Copyleft (AGPL-3.0)
C++ 3564 Version:v1.1.0
C++ 3564 Version:v1.1.0 License: Permissive (MIT)
Data Analysis
Following are the libraries which help in data analysis. These libraries use IoT(Internet Of Things) and some hardware tools like Radar sensors, Arduino, Raspberry Pi.
TypeScript 9 Version:Current
TypeScript 9 Version:Current License: Permissive (MIT)
Java 12 Version:Current
Java 12 Version:Current License: Permissive (MIT)
C++ 2 Version:Current
C++ 2 Version:Current License: Permissive (MIT)
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