With the rise of new energy vehicles, the Ministry of Public Security has piloted new energy vehicle license plates in five cities in Shenzhen, Shanghai, Nanjing, Wuxi and Jinan since December 1, 2016, and will gradually expand its application range until the promotion. To the country. In other words, the introduction of new energy license plates has brought new challenges to the identification of smart parking lot license plates. A well-known brand of domestic license plate recognition machine - eye-catching and actively responding to market demand, has now officially released a new energy license plate identification version. Let's take a look at the small series below.
New energy license plate number increase, license plate size becomes larger, font changeCompared with the ordinary blue license plate, the new energy license plate is changed to the green color and the special logo is added. The coding rules have changed, and the letters that distinguish between electric and hybrid models have been added after the area code; the size of the new energy car number is 480mm & TImes; 140mm, the number of the number plate is 40mm longer than the ordinary number plate, including the number of large new energy vehicles. The card width is reduced by 80mm; the number is increased from five to six, increasing the number of plates. Changes in new energy license plates have brought new challenges to license plate recognition.
The eye-catching algorithm engineer introduced to Xiaobian: The process of license plate recognition can be simply understood as the camera captures the original image of the license plate, and then divides the license plate area into independent character modules, and then recognizes the characters. However, because the new energy license plate differs from the ordinary blue license plate in terms of license plate size, font, number of digits, etc., the original algorithm does not support recognition.
The eye-catching algorithm engineer collects new energy license plate samples, relying on self-developed large-scale neural network deep learning algorithm to make it have the ability to recognize the number plate characters, and collect license plate samples in various scenarios: rainy weather, night, smooth Backlighting, large angle, etc., through the neural network deep self-learning training, the license plate recognition is modified several times, and finally the comprehensive recognition rate of the license plate reaches 99% or more, fully meeting the various extreme scenes during normal work.
The new energy car number plate reflects the meaning of “green environmental protectionâ€. With green color as the main color, special logo has been added, and new anti-counterfeiting technology and production technology have been applied. It can realize differentiated management, easy identification, and highlight new energy characteristics and technological innovation. Among them, the small green energy car number plate uses a gradient green color, and the large new energy car number plate uses yellow and green double color.
The number of new energy vehicles has increased by one. Compared with the ordinary car number plate, the number plate number of the new energy vehicle has been upgraded from 5 to 6 digits. The number of the number plate is increased, the resources are more abundant, and the coding rules are more scientific and reasonable, which can satisfy the "less use of letters and more use of numbers". The arrangement needs. It not only avoids the heavy number with the ordinary car number, but also meets the demand for the growth of new energy vehicles in the future. It is also conducive to accurate identification when the vehicle is driving at high speed. At the same time, it also added anti-counterfeiting technology such as two-dimensional bar code, anti-counterfeit shading, laser pattern, etc., to realize the uniqueness of the number plate and the trace of the production source, and improve the anti-counterfeiting performance.
However, because the new energy number plate has one more character than the previous license plate, it has also caused many car park intelligent identification systems to fail to identify them properly, which is inconvenient for vehicles to enter and leave the parking lot.
The traffic police department of Shenzhen responded that at the beginning of the release of the new energy license plate, considering that there may be some lag in the license plate intelligent identification system, it was notified at the time that the parking lots in the city were appropriately increased to deal with the parking problem of the new energy number plate vehicles. At the same time, the relevant identification system upgrades are also in progress. After the system is improved, it will be uniformly promoted to the city parking lot to solve the problem that the new energy vehicle number plate cannot be identified. Recently, the Traffic Police Bureau of the Shenzhen Public Security Bureau has issued a notice requesting all parking lots and related units to upgrade the license plate recognition system as soon as possible.
License plate recognition process
How to upgrade the parking lot for new energy car license plates? In fact, the license plate recognition system of the parking lot is very simple. The principle of the license plate recognition system is the pattern recognition technology that uses the dynamic video or static image of the vehicle to automatically recognize the license plate number and license plate color. The core of the technology includes license plate location algorithm, license plate character segmentation algorithm and optical character recognition algorithm. The process involves: vehicle detection - image acquisition - pre-processing - license plate location - character segmentation - character recognition - result output. However, the situation that the new energy vehicle license plate is unrecognizable or misidentified is mainly because the license plate recognition system is in the process of identification, and the recognition algorithm is an ordinary license plate 5-bit algorithm, so the last car number identification failure or error situation often occurs. appear. From this point of view, the solution to the system upgrade is to require the license plate recognition manufacturer to upgrade the system algorithm. The upgrade of this algorithm can follow the previous algorithm principle. Most manufacturers themselves have completed the upgrade of this algorithm. Now it is only necessary to import the new algorithm into the various parking systems already in use. The technical problem has been basic customer service, and now it is to be implemented.
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