3000 Capacity Fingerprint Sensor Module For Android Linux Windows

Grow R301T 3000 Capacity Fingerprint Module for Android Linux Windows

Description

R301T which added fingerprint touch function.
1. Integrated image collecting and algorithm chip together, ALL-in-One
2. The flexibility to adapt to the conditions was the fingers, whether it is dry fingers, wet fingers, light texture fingerprints fingers, and old fingers, all have high recognition rate
3. The main application areas: can be embedded into a variety of end products, such as: access control, attendance, safety deposit box

Specifications

·Interface:USB 2.0 and RS232 (TTL)
·Resolution:508 DPI
·Voltage:DC 4.2-6.0V
·Fingerprint capacity:2000
·Fingerprint reader module size:33.4 * 20.4 (mm)
·Effective collection area:10 * 10 (mm)
·ScanningSpeed:< 0.2 second
·Verification Speed:< 0.3 second
·Matching Method:1:1; 1:N
·FRR (False Rejection Ratio):≤0.01%
·FAR (False Acceptance Ratio):≤0.00001%
·Antistatic capacity:15KV
·Abrasive resistance intensity:1 million times
·Peak power consumption:60 mA
·Work environment:-20°C ---55°C
·Work Humidity:0-90%
·Communications baud rate (UART):(9600 × N) bps where N = 1 ~ 12(default N = 6, ie 57600bps)

Files

·All fingerprint module support with Arduino, Android, Windows, Linux, .Net and so on.
·Provide Free SDK Files
·Provide User Manual

The Future of Fingerprint Recognition Technology: Multidimensional Applications Beyond Authentication

Fingerprint recognition technology is breaking through the boundaries of traditional identity authentication and expanding into broader areas. The technology is no longer limited to simple unlocking and payment, but has begun to show great potential in social governance, healthcare, intelligent interaction and other dimensions.

In the field of public security, fingerprint identification technology is playing a greater role. Law enforcement agencies use portable fingerprint capture devices to quickly identify suspects at the scene. Customs and border management departments use fingerprint identification systems to realize accurate management of people entering and leaving the country. In some countries, fingerprint identification is also used in election voting systems to ensure the fairness and security of the voting process.

New applications of fingerprint recognition are being explored in the medical and healthcare fields. Researchers have found that fingerprint features are associated with certain genetic diseases, which provides new ideas for early screening of diseases. In healthcare management systems, fingerprint recognition can ensure the uniqueness of a patient's identity and prevent confusion in medical records. Some smart medical devices are beginning to integrate fingerprint recognition to provide personalized health management services for patients.

The field of intelligent interaction is experiencing changes brought about by fingerprint recognition technology. Automakers are applying fingerprint recognition to vehicle start-up systems and personalized settings to provide each driver with an exclusive driving experience. Smart home systems use fingerprint recognition to distinguish family members and automatically adjust indoor environmental parameters. In the education sector, fingerprint recognition technology is used for student attendance management and personalized learning systems.

The future development of fingerprint recognition technology will pay more attention to security and privacy protection. The introduction of vivo detection technology can effectively prevent fingerprint forgery, and the application of encryption technology ensures the secure storage and transmission of biometric data. With the development of quantum computing technology, fingerprint identification systems based on quantum encryption may become the standard for the next generation of secure authentication.

The evolution of this technology is redefining human-computer interaction. From the initial authentication tool to today's multi-dimensional application platform, fingerprint recognition technology is building a smarter, safer and more convenient future society. It is not only changing the way we interact with devices, but also reshaping the operation mode of the whole society.

Hangzhou Grow technology Co., Ltd. is a company working in the field of intelligent image recognition products with more than 10 years, we have real experts on manufacturing of barcode scanner, fingerprint module and intelligent lock in China. "GROW" is striving to increase customer satisfaction by meeting customers′ requirements, the company has passed international standard ISO 9001 that determines the requirements on quality management systems, and also got the CE certification from TUV and owned kinds of patents in biometric system. We have 1D 2D barcode scanner, capacitive fingerprint module, optical fingerprint module, USB capacitive fingerprint reader, fingerprint cabinet lock, password and fingerprint cabinet lock, fingerprint control board and the bracket and enclosure of our products. Our products have been widely used at vending machines, parking lot, home, enterprise, bank, customs. Up to now, our products are exported to European, American, Singapore, Middle East, South Asia and the region with high reputation. We sincerely hope to cooperate with you in the near future and expand the market together.