Cameras and vision systems for parking
A technologically advanced smart parking system must be able to integrate the mobility needs of the future.
In addition to sensors, Smart Parking Systems is also using vision systems to offer its interlocutors a structured solution based on the needs of the territory.
Over the last few years, the cameras have undergone substantial technological acceleration, developing specific algorithms that allow to identify the phenomena involved with precision and timeliness.
In this way it is possible to interpret the data and distribute it to all the people who take an active part in the staging processes.
✔️ Reduced hardware investments;
✔️ existing cameras can be used to reduce the economic impact of the implementation;
✔️ simple integration with existing software and platforms through APIs.
The cameras have become today very reliable and low-power tools that can respond, better than other technologies, to certain needs.
For example, think of an open space, like a square, where there are no visual obstacles and where you can then analyse the status of several parking spaces with a single camera.
If the conditions for implementation were optimal, it could cover up to 300 cars.
There may be some problems if the camera does not return a clear view of a place because it is partially covered by natural elements, such as large trees.
The higher the position of the camera, the wider the environment that is analysed. If the environment becomes restricted, the greater diffusion of cameras would have an excessive cost.
These are the difficulties encountered, for example, in narrow spaces, where a camera can’t be positioned at height or where the size and specific topography of the districts require a large number of devices.
➡️ That’s why we prefer a hybrid system that can easily model itself based on the city structure.
The images are acquired and immediately converted into data (free-busy), then into algorithms, without being recorded in our parking management software.
➡️ After importing the data, the software automatically destroys the images so that there is no trace of sensitive content.
➡️ To further enhance the security of the users, the process of recording images takes place at low resolution. In this way sensitive elements such as license plates or people’s faces can’t be recognized.
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