Product parameters:

Product physical parameters:

Common size: 105 * 45MM or specified by the customer

Substrate material: PET/PVC

Packaging material: self-adhesive or other

Antenna material: etched aluminum

Antenna: Use Alien 9654 antenna (this antenna is specifically designed to package windshield labels)

Quantity: (or specified by the customer)

Product environmental parameters:

Working temperature: -50 ℃~+80 ℃

Storage temperature: -40 ℃ to+125 ℃

Product performance parameters:

Operating frequency: 860-960MHz

Protocol: ISO/IEC 18000-6C&EPCglobal Class 1 Gen 2

Chip: Alien H3 windshield label

Memory: 512 bits

Working mode: read-write

Service life>10 years

Read and write frequency: 100000

Read/write distance:<7m/23.0ft (depending on working environment and reader/writer model)

Application scenarios:

　When it comes to smart electronic license plates, many people are curious. At present, the most common method for locating and recognizing license plates still relies on image recognition. After detecting the license plate number, it is compared with the list in the database. However, image recognition is greatly affected by environmental factors, and license plate recognition is prone to errors. In addition, blind spots often occur when collecting images, which limit the further development of image recognition due to uncontrollable factors.

In order to solve this series of problems, intelligent electronic license plates have emerged. Intelligent electronic license plates are based on RFID technology, which is an emerging non-contact automatic recognition technology. Compared with traditional video and image processing license plate recognition technology, vehicle recognition based on RFID technology has high accuracy, is not easily affected by the environment, has no blind spots, and can accurately and comprehensively obtain vehicle status information and road network traffic conditions. The future development trend will be electronic license plate recognition gradually replacing traditional license plate recognition methods.