GROW K200-3.3 Fingerprint Control Board
GROW K200-3.3 Fingerprint Control Board
GROW K200-3.3 Fingerprint Control Board
The GROW K200-3.3 Fingerprint Control Board is a high-performance biometric access control module designed for integration into security systems, attendance tracking solutions, and smart lock applications. Security integrators, system developers, and IoT engineers rely on this board to implement fingerprint-based authentication with minimal development overhead. This product solves the critical challenge of implementing reliable, fast, and secure biometric identification without requiring extensive firmware development or complex sensor calibration procedures.
Product Overview
The GROW K200-3.3 Fingerprint Control Board operates on advanced capacitive sensing technology combined with proprietary image processing algorithms to capture and authenticate fingerprints with exceptional accuracy. The board features a built-in ARM Cortex-M4 processor running at optimal clock speeds, integrated flash memory for storing up to 3000 fingerprint templates, and a dedicated matching engine that delivers recognition results in under 500 milliseconds. The 3.3V operating voltage ensures compatibility with modern microcontroller ecosystems including Arduino, Raspberry Pi, and STM32 development platforms, while the compact form factor allows seamless integration into space-constrained applications.
What distinguishes the K200-3.3 from competing solutions is its dual-mode communication interface supporting both UART and USB protocols, enabling flexible integration into diverse hardware architectures. The board incorporates advanced anti-spoofing algorithms that detect fake fingerprints with 99.2% accuracy, preventing unauthorized access through artificial replicas. Built-in ESD protection circuits safeguard against electrostatic discharge damage, while the industrial-grade capacitive sensor delivers consistent performance across varying humidity, temperature, and skin condition scenarios. The firmware supports both 1:1 verification mode for fast authentication and 1:N identification mode for comprehensive database searches.
Key Specifications
| Specification | Details |
| Product Type | Fingerprint Recognition Control Board Module |
| Brand | GROW |
| Model | K200-3.3 |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| Operating Voltage | 3.3V DC |
| Current Consumption | 80mA average, 150mA peak |
| Fingerprint Storage Capacity | 3000 templates |
| Recognition Speed | Less than 500ms per match |
| False Acceptance Rate | Less than 0.01% |
| False Rejection Rate | Less than 1.0% |
| Communication Interface | UART (9600-115200 baud) and USB 2.0 |
| Sensor Type | Capacitive fingerprint sensor |
| Image Resolution | 500 DPI |
| Operating Temperature | -10 to 60 degrees Celsius |
| Storage Temperature | -20 to 70 degrees Celsius |
| Humidity Range | 20% to 80% relative humidity |
| Dimensions | 45mm x 35mm x 12mm |
| Weight | 25 grams |
Key Features
- High-Speed Biometric Matching Engine delivering recognition results in under 500 milliseconds with 99.2% anti-spoofing accuracy for secure authentication
- Dual Communication Protocol Support via UART and USB interfaces enabling seamless integration with Arduino, Raspberry Pi, STM32, and custom embedded systems
- Large Template Storage Capacity of 3000 fingerprint records with advanced encryption ensuring secure local database management without cloud dependency
- Industrial-Grade Capacitive Sensor with multi-spectral imaging technology providing consistent performance across diverse skin conditions, moisture levels, and environmental variations
- Low Power Consumption at 80mA average operation enabling battery-powered portable applications and IoT devices with extended runtime
- Comprehensive Firmware Support for both 1:1 verification mode for access control and 1:N identification mode for attendance and forensic applications
- Built-in ESD and Surge Protection circuitry safeguarding against electrostatic discharge and power supply transients in industrial environments
- Temperature and Humidity Compensation algorithms maintaining accuracy across -10 to 60 degrees Celsius operating range
Applications and Use Cases
- Smart Door Lock Systems and Access Control requiring fast biometric verification with encrypted template storage for residential and commercial security applications
- Employee Attendance Management Systems integrating fingerprint identification for automated time tracking, payroll integration, and workforce analytics in corporate environments
- IoT Security Devices and Wearable Authentication systems leveraging the compact form factor and low power consumption for portable biometric solutions
- Industrial Equipment Access Control and Safety Interlocks ensuring only authorized personnel can operate hazardous machinery through secure biometric verification
- Banking and Financial Services Applications for customer authentication, secure transaction authorization, and fraud prevention in point-of-sale terminals
- Government and Law Enforcement Forensic Databases for criminal identification, border security screening, and citizen verification programs
- Healthcare Patient Identification Systems ensuring accurate patient matching for medical records, medication administration, and HIPAA-compliant access control
- Educational Institution Access Control and Student Identification Systems for campus security, library management, and examination hall verification
How to Use
Begin by connecting the GROW K200-3.3 board to your microcontroller via UART using the designated TX, RX, GND, and 3.3V power pins. Configure the serial communication parameters to 9600 baud rate (adjustable up to 115200) and initialize the board by sending the wake-up command. Before operational use, enroll fingerprints by sending the enrollment command followed by three consecutive finger scans for template creation. The board automatically processes the images, extracts minutiae features, and stores the encrypted template in internal flash memory with a unique user ID.
For authentication, send the verification command with a user ID, then capture the fingerprint image when the sensor is ready. The matching engine compares the live scan against the stored template and returns a confidence score. For 1:N identification mode, send the identification command to search the entire database and retrieve the matching user ID. Always implement proper error handling for scenarios such as poor image quality, insufficient fingerprint area coverage, or sensor timeout conditions. Test the system thoroughly across different users, skin types, and environmental conditions before deployment. Refer to the comprehensive API documentation provided with the product for advanced configuration options including threshold adjustment, template deletion, and firmware updates.
Frequently Asked Questions
What is the difference between 1:1 verification and 1:N identification modes?
1:1 verification mode compares a captured fingerprint against a specific stored template associated with a claimed user ID, delivering results in under 200 milliseconds. This mode is ideal for access control and authentication where the user identity is known. 1:N identification mode searches the entire database of up to 3000 templates to find a match, requiring 300-500 milliseconds depending on database size. This mode is used for attendance systems, forensic matching, and applications where user identity is unknown. The K200-3.3 supports both modes through firmware commands without hardware modification.
How does the anti-spoofing technology prevent fake fingerprints?
The GROW K200-3.3 employs multi-spectral liveness detection analyzing electrical conductivity, elasticity, and thermal properties of the presented finger. The capacitive sensor detects subtle differences in skin electrical characteristics that artificial materials like silicone, gelatin, or printed images cannot replicate. The proprietary algorithm achieves 99.2% accuracy in distinguishing genuine fingers from spoofing attempts. Additionally, the system analyzes image quality metrics, ridge pattern consistency, and pressure distribution patterns to detect presentation attacks. For maximum security in high-risk applications, implement secondary verification methods alongside biometric authentication.
Can the K200-3.3 work with existing fingerprint databases from other systems?
The GROW K200-3.3 uses proprietary template format optimized for its specific matching algorithm. Direct import of templates from other fingerprint systems is not supported due to differences in feature extraction methodology and template compression. However, you can implement a migration strategy by re-enrolling users into the K200-3.3 system. For large-scale deployments requiring template compatibility, contact our technical team for consultation on integration approaches. The board supports standard UART and USB protocols for seamless data transfer with host systems.
What is the expected lifespan of the fingerprint sensor?
The capacitive sensor in the K200-3.3 is rated for approximately 50 million touch cycles under normal operating conditions, translating to 10-15 years of typical use in access control applications. The sensor degrades gradually with extended exposure to harsh chemicals, extreme temperature fluctuations, and physical abrasion. Regular cleaning with soft, dry cloths maintains optimal sensor performance. The board's electronic components are rated for industrial-grade reliability with Mean Time Between Failures (MTBF) exceeding 100,000 hours. Implement proper ESD protection and surge suppression in your system design to maximize component lifespan.
How secure is the template storage on the board?
The K200-3.3 stores fingerprint templates in encrypted format using AES-128 encryption with unique device keys. The templates are not raw images but compressed minutiae data that cannot be reverse-engineered to reconstruct original fingerprints. The internal flash memory is protected against direct read access through firmware-level security mechanisms. However, for maximum security in banking or government applications, implement additional host-side encryption, secure key management, and regular security audits. Never expose the device to untrusted physical access or network connections without proper security protocols.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
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