0102030405
Mifare Classic 1K Cards For Campus Cards
Description
MIFARE Classic EV1 RFID cards are widely used for various applications due to their secure and efficient contactless technology. Available in 1K byte and 4K byte memory capacity versions, MIFARE Classic EV1 RFID cards are suitable for different data storage needs. Operating at 13.56 MHz, complying with ISO/IEC 14443 Type A standards, the cards are compatible with various readers. Optional with 4byte non unique identifier and 7byte unique identifier for secure identification, access control, and cashless payment.
![PROUD-TEK-RFID-CARD-Mifare-card](https://ecdn6.globalso.com/upload/p/928/image_other/2024-12/proud-tek-rfid-card-mifare-card.jpg)
Features
- ●Anti-collision, allows to operate more than one card in the field simultaneously
- ●7-byte UID or 4-byte NUID
- ●Mutual or three pass authentication
- ●Typical ticketing transaction time of < 100 ms
Specification
Product | Mifare Classic 1K Cards For Loyalty Programs |
Material | PVC, PET, ABS |
Dimension | 85.6x54x0.84mm |
Working frequency | 13.56KHz |
Memory size | 1k or 4K bytes |
Protocol | ISO/IEC 14443A |
Personalization | CMYK 4/4 printing, logo number UV spot, chip initialization, variable QR code printing, signature panel, magnetism strip, etc. |
Reading distance | 2~10 cm, depends on reader’s antenna geometry |
Data retension | 10 years |
Writing cycle | 200000 cycles |
Working temperature | -20°C~50°C |
Packing | 100pcs/pax, 200pcs/box, 3000pcs/carton |
Application
MIFARE Classic EV1 cards can serve multiple functions within a campus environment, including access control, student identification, library services, and cashless payments in cafeterias. This versatility allows institutions to consolidate various services onto a single card. Operating at a frequency of 13.56 MHz, MIFARE Classic EV1 cards enable fast contactless transactions. Students and staff can easily tap their cards to access facilities or make purchases without delays. By utilizing MIFARE Classic EV1 cards, campuses can gather valuable data on student behavior and usage patterns. This information can be analyzed to enhance services, improve resource allocation, and tailor programs to better meet student needs.