License plate recognition has a wide field of usage including highways, housing complexes, parking lots and other fields where a large number of cars enter and exit. While license plate recognition algorithms are developed environmental factors such as the speed of vehicles and physical features of the place where the application is used should be considered. Our license plate recognition filters are targeted to provide extendable and easily modifiable solution in accordance with different environmental conditions (illumination, camera height etc.) and changing needs. As in our other solutions which require rugged and fanless embedded hardware, you can own our license plate solutions with ViCasa.

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In order to solve the traffic problem especially in metropoles, the traffic density should be calculated accurately and automatic signalization and early alarm systems should be improved. Image processing is the best technique to develop such systems with high accuracy. You can develop software products which measure the traffic density, average speed and the length of the vehicle queue with our traffic density monitoring filters. Since the vast majority of these applications are outdoor applications, we have tested and verified performance of our filters on ViCasa, our embedded hardware platform, and Toughbook series.

Vehicle counting is a video analysis application which is needed more in the last years at highways, shopping malls and parking lots for gathering statistical data, supporting security systems and improving the quality of services. Our license plate recognition solution has an error rate less that 0.5%. You can use our Capra-based license plate recognition filters to develop your own software or can integrate it to your retail or traffic applications.

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