Smart parking sensors
SPSF is an advanced parking sensor which assists in real-time monitoring parking spaces. It displays information if a single parking space is occupied and measures the time of occupation.
Technologies used
PostgreSQL, WebSocket, Arduino, Angular, LoRaWAN, Django, Python, HTML, CSS, TypeScript, kerlink
Tools
Jenkins, Jira, Confluence
7
Project members
6 months
Project length
Hardware & firmware
Category
Smart City
Branch
The challenge
The sensor is designed to work in Smart Cities parking systems or can be a part of the ITS system. SPSF Server Using the SPSF API, parking space occupancy data can be quickly integrated with the search and guidance support system for free parking spaces or other mobile applications. Basic data stored on the SPSF Server is the unique number of a single parking sensor and its current status (occupied/ free). The SPSF server and the data stored on it are the basis for additional services.
There was a dilemma between choosing the right kind of sensor, such as light or a distance measurement one. The collected data between the sensors were differentiated, which made the choice tough.
The result
SPSF is an advanced parking sensor, which verifies in real-time whether or not a single parking space is occupied and monitors the time of occupation. The sensor is designed to work in Smart Cities parking systems or can be a part of the ITS system. Real-time information on parking space usage reduces the time to search for a parking space, allows you to optimize the use of spaces, increase parking revenues and reduce CO2 emissions.
We had to come up with an outstanding program with its attribute of 2 KB of memory (16,384 zeros and ones!) when skyrocketing resources on mobile devices and computers are accessed.
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Agnes
business development specialist
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