ZKAccess SLK-20R SilkID v2.0 Fingerprint Enrolment Reader

The ZKAccess SLK-20R SilkID v2.0 Fingerprint Enrolment Reader is a cutting-edge biometric device designed for superior fingerprint recognition. With its advanced optical technology, 2 megapixel image sensor, and powerful ARM9 processor, this reader captures high-quality fingerprint images and provides enhanced security by rejecting spoof fingerprints. It's compact and durable, making it ideal for various applications.

ZKAccess SLK-20R Fingerprint Reader Features

• Dimensions: 2 inches (l) x 2 inches (w) x .7 inches (d) - Compact size for easy integration into different setups.
• Certification: FBI PIV and Mobile ID certified; FAP20 - Ensures compliance with stringent security standards.
• Image Output: Selectable 500, 750, or 1000 dpi output image - Offers flexibility in image resolution for different applications.
• Capture Area: Large image capture area: .6 inches x .8 inches - Provides a larger field for accurate fingerprint capture.
• Durability: Durable glass touch surface - Enhances longevity and withstands everyday use.
• Spoof Detection: Rejects spoof fingerprints - Adds an extra layer of security against fraudulent attempts.
• Capture Speed: Fast capture at 12 fps frame rate - Ensures quick identification to streamline workflows.
• Connectivity: USB2.0 High Speed - Facilitates fast data transfer to PCs.
• Status Indication: Multicolour (white, green, red) LED bar - Provides clear visual feedback on operational status.
• Size: Compact design - Easy to transport and install.
• Water and Dust Resistance: Sealed against water and dust with an IP64 rating - Suitable for various environments without compromising functionality.
• Ambient Light Rejection: Sunlight operation - Effective even in bright lighting conditions.
• Power Efficiency: Low Power Idle Mode - Reduces energy consumption during downtime.
• Operating Temperature: -20º to 55ºC operating temperature range - Versatile use in diverse climatic conditions.

ZKAccess SLK-20R Detailed Specifications