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Grow-R503 Capacitive Fingerprint Pro Module UART Sensor

Name: Grow-R503 Capacitive Fingerprint Pro Module UART Sensor
Brand: GROW
SKU: DAG079
Price: 2480.36 INR
Availability: OutOfStock
Rating: 5 (1 reviews)

Write a review | 1 reviews

Stock: Out Of Stock
Availability: NotInStock priceValidUntil: 2026-02-21
Brand: GROW
SKU: 3766 | DAG079

Rs. 2,480.36 (inc GST)
Rs.2,102.00 + GST

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GST Invoice: Available for all purchases — eligible for input tax credit.

Delivery: 2–8 days across India. No MOQ required.

Bulk Orders: Need more quantity or not in stock? Email: dnatechindia [at] gmail.com

Import Service: We import a wide range of electronic components on request.

Description

Grow R503 Capacitive Fingerprint Pro Module UART Sensor

Grow R503 Capacitive Fingerprint Pro Module UART Sensor

The Grow R503 Capacitive Fingerprint Pro Module UART is a self-contained module that captures and processes fingerprint data. It uses optical fingerprint sensing technology, which ensures accurate and fast fingerprint recognition. The module is equipped with a built-in MCU (microcontroller unit) and can store fingerprint data internally. It also supports communication with external systems via UART (serial) interface, making it suitable for a range of embedded applications.

DNA solutions, Nashik has various types of Module's. Check out our complete collection of Module's.

If you are in Nashik you can buy this Electronic Component at our local shop at New CBS, Nashik or you can place order online and get it delivered at your doorstep anywhere in India.

Features of Grow R503 Capacitive Fingerprint Pro Module UART Sensor

High Accuracy & Speed: The module offers fast fingerprint recognition with a high level of accuracy.
Optical Sensor: Utilizes an optical fingerprint sensor that provides durability and stability.
Standalone Operation: Can operate independently, storing and matching fingerprint data within the module.
Flexible Communication: Supports UART (serial) communication for easy integration into external systems.
Large Capacity: Can store and manage multiple fingerprint templates, depending on the specific model.
Anti-Fake Function: Advanced anti-fake detection technology to ensure real human fingerprints.
Low Power Consumption: Designed for low power consumption, making it suitable for battery-powered devices.

Specifications of Grow R503 Capacitive Fingerprint Pro Module UART Sensor

Interface:RS232 (TTL)/USB
Resolution:508 DPI
Voltage: Pro-UART: DC 3.3V R503Pro-USB: DC 5V
Working current(Fingerprint acquisition):20mA
Standby current(finger detection): Typical touch standby voltage: 3.3V, Average current: 2uA
Fingerprint capacity:1500
Fingerprint module external size: diameter 28mm
Fingerprint module inner size: diameter 25mm(M25)
Fingerprint module height: 19mm
Sensing Array:192*192 pixel
Effective collection area: diameter 15mm

Package Includes

1 x Grow R503 Capacitive Fingerprint Pro Module UART Sensor

Extra Information
Country of Origin	China
Imported By	ElectroSource Private Limited

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Frequently Asked Questions

Do you provide a GST bills?

Yes we provide GST Bill by the name of DNA Solutions. You will receive a GST compliant invoice for your records. You can take GST benefit.

What is your return / replacement policy?

Returns/replacements depend on the item type and condition. If there’s an issue, contact us with photos/videos and we’ll guide you as per policy.

Where are you located / where do you ship from?

We’re based in Nashik, Maharashtra. All orders are dispatched from Nashik.

What payment methods do you accept?

We accept UPI, cards, netbanking, and other checkout options shown on the payment page.

What details should I send for a bulk quote?

Send these details for an accurate bulk quote: - Part number(s) - Quantity required - Preferred brand (if any) - Product image (if possible) - Delivery address + PIN code - GST invoice needed (Yes/No) + GSTIN (if Yes)

Are components original / new?

We aim to supply genuine, new parts. For sourced items, we confirm availability and provide the best matching grade/brand possible.

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