Mantra MFS-100 Biometric Finger Print C-Type Scanner Documentation

Component Description

Mantra MFS-100 Biometric Finger Print C-Type Scanner

Overview

The Mantra MFS-100 Biometric Finger Print C-Type Scanner is a high-performance fingerprint recognition device designed for various applications, including security, access control, and identity verification. This C-Type scanner is a compact, rugged, and reliable biometric device that captures high-quality fingerprint images for accurate identification and authentication.

Functional Description

The Mantra MFS-100 Biometric Finger Print C-Type Scanner is a fingerprint reader that uses optical sensing technology to capture and process fingerprint patterns. The device operates by illuminating the fingerprint with a high-intensity light source, which enhances the contrast between the ridges and valleys of the fingerprint. The scanner then captures the reflected light and converts it into a digital image, which is processed by the onboard algorithm for feature extraction and matching.

Key Features

High-Resolution Imaging: The MFS-100 scanner captures high-resolution fingerprint images with a resolution of 500 dpi, ensuring accurate and reliable identification.
Optical Sensing Technology: The device uses optical sensing technology, which provides high-quality images even with scratched, worn, or damaged fingers.
On-Board Algorithm: The scanner features an onboard algorithm that extracts fingerprint features and matches them against a database or a stored template, ensuring fast and accurate verification.
Compact Design: The C-Type scanner has a compact design, making it suitable for integration into various devices, such as access control systems, time and attendance machines, and identity verification terminals.
Rugged Construction: The device is built with a rugged construction, ensuring reliable operation in harsh environments and withstanding heavy usage.
Multi-Protocol Support: The MFS-100 scanner supports various communication protocols, including USB, RS-232, and Wiegand, making it compatible with a range of devices and systems.
High-Speed Processing: The scanner processes fingerprint data at a high speed, enabling quick identification and verification.
Fingerprint Matching: The device can perform 1:1 verification (matching a fingerprint against a stored template) and 1:N identification (matching a fingerprint against a database).
Security: The MFS-100 scanner features advanced security features, including encryption and secure data storage, to protect sensitive biometric data.

Technical Specifications

Sensor Type

Optical

Resolution

500 dpi

Image Size

288 x 384 pixels

Scanning Area

12.8 mm x 16.3 mm

Interface

USB, RS-232, Wiegand

Power Supply

5V DC, 200mA

Operating Temperature

0C to 40C

Humidity

20% to 80% RH

Dimensions

62 mm x 42 mm x 24 mm

Weight

120 grams

Applications

The Mantra MFS-100 Biometric Finger Print C-Type Scanner is suitable for various applications, including

Access control systems

Time and attendance machines

Identity verification terminals

Border control systems

Law enforcement agencies

Financial institutions

Healthcare facilities

Conclusion

The Mantra MFS-100 Biometric Finger Print C-Type Scanner is a high-performance fingerprint recognition device that offers accurate and reliable identification and authentication. Its compact design, rugged construction, and advanced features make it an ideal choice for various applications requiring biometric authentication.

Pin Configuration

Mantra MFS-100 Biometric Finger Print C-Type Scanner Pinout Explanation
The Mantra MFS-100 Biometric Finger Print C-Type Scanner is a compact and reliable fingerprint scanning module widely used in various IoT applications. Understanding the pinout of this module is essential for proper integration and functionality. Below is a detailed explanation of each pin, along with connection guidelines.
Pinout Structure:
The Mantra MFS-100 has a 10-pin interface, with pins arranged in two rows of 5 pins each.
Row 1 (Top):
1. VCC (Pin 1)
Function: Power Supply (3.3V - 5V)
Description: Provides power to the module. Connect to a stable 3.3V - 5V power source.
2. GND (Pin 2)
Function: Ground
Description: Ground pin for the module. Connect to the system's ground or a common ground point.
3. TX (Pin 3)
Function: Serial Transmitter (UART)
Description: Used for serial communication. Connect to a microcontroller's UART receiver (RX) pin.
4. RX (Pin 4)
Function: Serial Receiver (UART)
Description: Used for serial communication. Connect to a microcontroller's UART transmitter (TX) pin.
5. STATE (Pin 5)
Function: Status Indicator
Description: This pin is used to indicate the module's status (busy or idle). Can be connected to a microcontroller's digital input pin for status monitoring.
Row 2 (Bottom):
1. RST (Pin 6)
Function: Reset
Description: Active-low reset pin. Connect to a microcontroller's digital output pin to control the module's reset.
2. WAKEUP (Pin 7)
Function: Wakeup
Description: Used to wake up the module from sleep mode. Can be connected to a microcontroller's digital output pin.
3. FLASH (Pin 8)
Function: Flash mode
Description: Used for firmware upgrades. Typically connected to a microcontroller's digital output pin.
4. LED (Pin 9)
Function: LED Indicator
Description: Connect to an LED (with a suitable current-limiting resistor) to indicate the module's status.
5. NC (Pin 10)
Function: No Connection
Description: This pin is not used and should be left unconnected.
Connection Guidelines:
Use a compatible power supply (3.3V - 5V) for the VCC pin.
Ensure a stable ground connection for the GND pin.
Use a suitable serial communication protocol (UART) for the TX and RX pins.
Monitor the STATE pin to determine the module's status.
Use the RST pin to control the module's reset.
Connect the WAKEUP pin to wake up the module from sleep mode.
Use the FLASH pin for firmware upgrades.
Connect the LED pin to an LED with a suitable current-limiting resistor for status indication.
By following these pinout explanations and connection guidelines, you can successfully integrate the Mantra MFS-100 Biometric Finger Print C-Type Scanner into your IoT project.

Code Examples

Mantra MFS-100 Biometric Finger Print C-Type Scanner Documentation

Overview

The Mantra MFS-100 Biometric Finger Print C-Type Scanner is a high-quality fingerprint scanner designed for various applications, including access control, identity verification, and biometric authentication. This scanner features a compact design, high-speed processing, and exceptional fingerprint recognition accuracy.

Hardware Specifications

Scanner Type: Optical
 Resolution: 500 dpi
 Image Sensor: CMOS
 Fingerprint Verification Speed: < 1 second
 Power Supply: 5V DC, 200mA
 Interface: USB 2.0
 Operating Temperature: 0C to 40C

Software Development Kit (SDK)

The Mantra MFS-100 SDK provides a comprehensive set of libraries, tools, and documentation for developing applications that utilize the fingerprint scanner. The SDK supports various programming languages, including C, C++, Java, and Python.

Code Examples

### Example 1: Fingerprint Enrollment using C (Windows)

This example demonstrates how to enroll a fingerprint using the Mantra MFS-100 SDK in a Windows-based application written in C.

```c
#include "mfs100.h"

int main() {
    // Initialize the scanner
    MFS100_Init();

// Set the scanner to enrollment mode
    MFS100_SetMode(MFS100_MODE_ENROLL);

// Capture a fingerprint image
    byte fpImage = MFS100_CaptureImage();

// Extract the fingerprint features
    MFS100_FingerprintFeature fpFeatures = MFS100_ExtractFeatures(fpImage);

// Enroll the fingerprint
    int enrollStatus = MFS100_Enroll(fpFeatures, "User1_Finger1");

// Release resources
    MFS100_FreeImage(fpImage);
    MFS100_FreeFeatures(fpFeatures);

return enrollStatus;
}
```

### Example 2: Fingerprint Verification using Python (Linux)

This example demonstrates how to verify a fingerprint using the Mantra MFS-100 SDK in a Linux-based application written in Python.

```python
import mfs100

# Initialize the scanner
scanner = mfs100.MFS100()

# Set the scanner to verification mode
scanner.set_mode(mfs100.MFS100_MODE_VERIFY)

# Load the enrolled fingerprint template
template = scanner.load_template("User1_Finger1")

# Capture a fingerprint image
image = scanner.capture_image()

# Extract the fingerprint features
features = scanner.extract_features(image)

# Verify the fingerprint
result = scanner.verify(features, template)

if result:
    print("Fingerprint verified successfully!")
else:
    print("Fingerprint verification failed.")

# Release resources
scanner.free_image(image)
scanner.free_features(features)
scanner.free_template(template)
```

Additional Resources

Mantra MFS-100 SDK Documentation (PDF): [link]
 Mantra MFS-100 Datasheet (PDF): [link]
 Mantra MFS-100 Integration Guide (PDF): [link]

Troubleshooting and Support

For technical support, please contact Mantra Technical Support at [support@mantra.com](mailto:support@mantra.com) or visit the Mantra website at [www.mantra.com](http://www.mantra.com).

Update Your Location

Saved Addresses