Recognition parameters

Recognition parameters

Choose the “Settings” tab to select the preferred region and to fine-tune recognition settings
(sensitivity, threshold, min. and max. plate size in pixels and number of symbols on the license plate).

These settings are only for advanced users
*“Preferred country” feature is available only for the EU and USA regions.
"Preferred country" is designed to improve the quality of country recognition for Europe and states for the USA



It is recommended to restart Milestone services and then carGuroo services
after finishing adjusting recognition parameters or after changing the setting of the Preferred country.

To increase make and model recognition quality now you can specify vehicle view on the camera image*
-Set "Both" if you are not finished yet with the camera installation angle 
-Set "Front view" if, in the recognition zone, you will see only the front of the vehicle 
-Set "Rearview" if, in the recognition zone, you will see only the rear part of the vehicle 

*Please see our “carGuroo cameras installation Guide” to understand more about camera installation requirements


Now you can specify the recognition scenario for post-analytic. The main goal is to provide one recognition event per vehicle without duplicates.

The "Default" scenario covers 90% of real-life cases (traffic monitoring in the highways/city streets, parking, etc).

This scenario has complicated logic which also covers the "Traffic flow" scenarios below.

We added more scenarios for some "hard" installation cases:

"Parking entry" - this scenario will help you in cases when a vehicle approaches the camera at low speed.

"Stationary car" - this scenario could help you in cases when the car is parked in front of the camera and stays for a long time (from several minutes to several hours).

"Test mode" - could be useful while checking recognition quality. This mode disables post analytics and in the results tab, you will get all raw recognition results.

"Traffic flow - best result on the confidence" - this is a private work scenario. For example, if a car license plate was recognized only 10 times, then the algorithm from 10 recognition results will select one result with the highest confidentiality for display.

"Traffic flow - best result on the statistic" - This is a private work scenario. For example, if a car license plate was recognized only 10 times, while 7 times the number was recognized incorrectly with a confidentiality of 0.6 and three times correctly with a confidentiality of 0.9, then the algorithm, based on the statistics of the number of recognitions will display one result out of 7 incorrect ones since there were more results.







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