Although cloud-basedLicense plate recognitionThe advantages of the solution are very obvious, but there are limitations and challenges in the implementation process. Most of these problems are related to technology, and a small part of them are related to users' budgets. Therefore, before users install license plate recognition solutions, they should understand these factors. The most obvious limitation is that cloud analysis may not be suitable for application scenarios where immediate action is taken based on video, such as automatic opening of parking lot doors through license plate recognition. If the recognition cloud analysis responds, the user experience is not good. Therefore, in the scenario of device response speed, edge solutions are more appropriate.
I. Internet Connection
As the name suggests, cloud-based solutions require a network connection to function properly, so they are not feasible for projects without a network connection. For cloud-based license plate recognition, event detection is also a problem if the bandwidth allows for continuous monitoring of video traffic in the area(In this case, our solution uses triggers based on video analysis)Event detection can be avoided, but it is unrealistic for accessible infrastructure and economic reasons to be considered. Asura TechnologiesSales SupervisorAdrian CsekoExplained. Another way to solve this problem is to establish an appropriate image preselection mechanism and trigger(Such as an induction ring)Or it may contain some kind of trigger mechanism camera, but due to the price difference, the latter may be relatively commonPThe camera solution is more expensive.
Ii. Camera Quality
The basic empirical rule for choosing a camera for license plate recognition is that if the human eye can recognize license plates, the license plate recognition solution can also do so. Despite this, as cameras on highways usually have to handle harsh conditions, they cannot provide continuous and clear visual effects in some cases. The quality of camera images is of vital importance in all weather and lighting conditions. AvutecSales DirectorWalter VerbruggenSay. Special license plate recognition camera systems will always be superior to other types of cameras because they optimize the quality of license plate recognition images, offer higher speeds, and do not require any image or video compression, which would otherwise compromise image quality. The placement of the camera is also very important for capturing license plates. Either too far or too close will cause the image to be invalid. Similarly, installing the camera too high or too low can also be a problem. It is worth discussing that due to rain, fog, dust or other similar factors, the visual effect is blurred and the license plate recognition solution is difficult to recognize. Whether based on the cloud or the edge, these issues pose challenges for any license plate recognition solution.
Third, lack of customizability
Adaptive RecognitionMarketing officerGabor JozsaIt indicates that cloud-based systems may encounter problems with adaptive network connections. However, for license plate recognition, the main limitation might be the difficulty in providing recognition services that meet specific requirements.
The user's application requires specificOCRThese services require local solutions to provide engines and identification functions.
In conclusion, both cloud-based license plate recognition solutions and edge-based license plate recognition solutions have their own advantages and disadvantages. Both have certain scenario requirements for their applicability, so users must start from reality when making a choice. That's all.Seenboom"Security and protectionThe editor has summarized the challenges and limitations of cloud-based license plate recognition for everyone.
Seenboom provides vehicle underbody safety protection for a wide range of industries. Currently, its products and solutions are widely used in the research, determination and location control of personnel and items in important occasions such as security for key personnel, government conferences, sports events and other important occasions, following the path of combining smart technology with the security control needs of key locations.
