Safety is one of the most important issues when deciding where to live or raise a family.
No one wants to live in fear of something happening to their loved ones.
That is why, even if you are living in the safest neighborhood in the area, it is always advisable to install a video monitoring system that is capturing everything that happens in the vicinity of the home.
The License Plate Recognition API comes into play by being able to identify every license plate on every vehicle that passes by the house.
Imagine how useful it would be to be able to make sure that a car was following you or that there is someone passing by and controlling the movements of your routine.
How does the License Plate Recognition API operate?
Field Surveillance – For the proposed project, the data can be collected manually from various locations or received via traffic surveillance cameras.
Traffic admin personnel: After the infraction is discovered, the admin will be provided with the output image of the offending vehicle. Using the same outdated legacy License Plate Recognition API system, the admin will then create a challan on the offending vehicle and send it to the proper vehicle owners.
Devices on the edge – Devices on the edge are used to process data sets gathered from other data sources, such as data sets obtained from security cameras.
The majority of the components are the License Plate Recognition API and monitoring devices for managing the security cameras mounted at various crossings.
The system that gives live to License Plate Recognition API
The License Plate Recognition API system, which is installed in specialized systems, gathers surveillance data and processes it to create the appropriate output.
Communication – The local staff keeps track of any traffic violations that occur on the roads and sends the information to the headquarters for further review. This effort aims to enhance the current network rather than developing a brand-new one.
Storage – The surveillance dataset or the obtained dataset can be saved right away to the hard drives designated to the headquarters. Regular, thorough maintenance must be done on the system in order to maximize its resources.
The complexity of each of these program subsections affects the accuracy of the License Plate Recognition API system. To increase the image contrast between the letters and the plate backing during the third phase (normalization), some systems employ edge detection techniques. The visual noise in an image can also be reduced using a median filter.
Of course, there are many potential problems that could make the License Plate Recognition API process more difficult, but some of these problems can be fixed in software; the hardware side of the system is primarily responsible for finding answers. While raising the camera’s height might solve the issue of objects (like other cars) blocking the license plate, it also creates and exacerbates other problems, like the need to compensate for the greater skew of the plate.
Our License Plate Recognition API pr can reliably identify each plate without needing a clear or sharp image because the AI that powers this tool takes care of that. Forget about blurry photos and shaky movies.
Also published on Medium.