- New
Reference: RBD-1354
Jumper Wire Single 20cm
Length: 8 inches/20 CM (Long) Material: Copper Plated Pin Spacing: 2.54mm.
Reference: RBD-1354
Length: 8 inches/20 CM (Long) Material: Copper Plated Pin Spacing: 2.54mm.
Reference: RBD-0351
Contactless transmission of data and supply energy (no battery needed) Operating distance: Up to 100mm (depending on antenna geometry) RoboticsBD Operating frequency: 13.56MHz Data transfer: 106 kbit/s Data integrity: 16 Bit CRC, parity, bit coding bit counting Anticollision Typical ticketing transaction: <100 ms ( including backup management)...
Reference: 0245
Choose your desire Resistor value from below:
Reference: 0031
3 Types Available (Please select from option) 1. Male to Male 2. Male to Female 3. Female-Female
Reference: RBD-0768
Size: 5mm Color: RED Head Shape: Round Lens Appearance: Transparent
Reference: RBD-0761
Breadboard friendly Mounting Style: Through Hole Mounting Direction: Vertical
Reference: RBD-1360
PN junction rectifier diode. One direction flow of Current. Used for conversion of AC power to DC. 1N 4007 is electrically compatible with other rectifier diodes Used instead of any of the diode belonging to 1N400X series
The HLK-FM225 Face Recognition Module is a cutting-edge facial recognition solution designed for advanced security systems and smart home devices. Utilizing a deep learning infrared face recognition algorithm, this module ensures high accuracy (98.85%) and supports multi-angle face detection for diverse applications. It features both UART and USB communication interfaces, enabling seamless integration into various devices, such as smart door locks, vending machines, and security monitoring systems. Equipped with infrared and visible light cameras, the FM225 provides real-time face liveness detection, face capture, and feature extraction, making it a versatile and reliable choice for next-generation security solutions.
The HLK-FM225 Face Recognition Module is a cutting-edge facial recognition solution designed for advanced security systems and smart home devices. Utilizing a deep learning infrared face recognition algorithm, this module ensures high accuracy (98.85%) and supports multi-angle face detection for diverse applications. It features both UART and USB communication interfaces, enabling seamless integration into various devices, such as smart door locks, vending machines, and security monitoring systems. Equipped with infrared and visible light cameras, the FM225 provides real-time face liveness detection, face capture, and feature extraction, making it a versatile and reliable choice for next-generation security solutions.
High Accuracy Face Recognition:
Dual Camera Setup:
Flexible Integration:
Face Liveness Detection:
Wide Angle and Distance Detection:
Large Storage Capacity:
Compact Design:
Reliable Performance in Various Conditions:
Hardware Integration:
Configuration:
Face Enrollment:
Operation:
Testing and Monitoring:
Smart Door Locks:
Mobile Vending Machines:
Security Monitoring Systems:
Access Control Systems:
Healthcare and Retail Systems:
IoT and Smart Devices:
The HLK-FM225 Face Recognition Module is a powerful, compact, and reliable solution for facial recognition, designed to meet the needs of modern security and smart home systems. Its high accuracy, privacy protection, and seamless integration make it ideal for innovative and secure applications.
The latest price of Hi-Link HLK-FM225 Face Recognition Module in Bangladesh is BDT 3,450 You can buy the Hi-Link HLK-FM225 Face Recognition Module at best price from our RoboticsBD or visit RoboticsBD Office.
Please note that the product information provided on our website may not be entirely accurate as it is collected from various sources on the web. While we strive to provide the most up-to-date information possible, we cannot guarantee its accuracy. We recommend that you always read the product labels, warnings, and directions before using any product. |
Product Images are shown for illustrative purposes only and may differ from the actual product. |
Reference: RBD-1719
Envitec Honeywell OOM202 Medical Ventilator Oxygen Sensor Made in GermanyManufacture Date: 2023 December
Reference: RBD-0142
Description: Fingerprint scanners are awesome. Why use a key when you have one right at the tip of your finger? Unfortunately, they’re usually unreliable or difficult to implement. Well not anymore! We’ve found this great fingerprint module from ADH-Tech that communicates over TTL Serial so you can easily embed it into your next project.
Reference: RBD-0312
Arduino TTP229 16 Channel Digital Capacitive Switch Touch Sensor Module GM
Reference: RBD-2326
Brand: DFRobot
Gravity Analog Heart Rate Monitor Sensor (ECG) for Arduino with AD8232 chip Measures and outputs heart electrical activity as an analog ECG signal Compatible with Arduino, Raspberry Pi, Intel Edison, Joule, and Curie Features a Gravity Interface for easy plug-and-play integration Operates at 3.3V to 6V, with a compact design for various health monitoring...
Reference: RBD-0622
Transmission signal processing control chip RCWL-9196 Wide operating voltage range 4.0V to 28.0V Penetrating detection capability, compared with the traditional infrared feeling PIR Adjustable Block time and distance Operating Current: 2.8mA (typical); 3mA (max) Detection Distance: 5-9m Transmitting Power: 20mW (typical); 30mW (max) RoboticsBD
Reference: RBD-2451
Pulse Sensor 3.3-5V Heartbeat Heart Rate Monitor Sensor Easy to use finger-tip heart rate detector module with built-in noise filter and signal amplification.
Reference: RBD-2303
MAX30102 Heart Rate and Pulse Oximeter Sensor Module for wearable and medical devices Features red (660nm) and infrared (880nm) LEDs with ambient light suppression Provides accurate light reflection signal (PPG) for heart rate and blood oxygen measurement Standard I2C interface for seamless integration with microcontrollers Compact design with low standby...
Reference: RBD-2918
EMG muscle sensor V3.0 with cable and electrodes Measures the electrical activity of muscles High signal quality for accurate and reliable measurement Adjustable gain and filtering for signal conditioning Compatible with various types of microcontrollers and data acquisition systems Comes with reusable electrodes and a 3.5mm jack cable for easy connection
Reference: RBD-0416
Onboard 8 key TTP226 capacitive touch induction IC. RoboticsBD Onboard 8-way level indicator. Working voltage: 2.4 to 5.5 V. Modules, you can set the output mode, key output mode, the longest time and fast/low power output
Reference: RBD-2214
EMG muscle sensor V3.0 with cable and electrodes Measures the electrical activity of muscles High signal quality for accurate and reliable measurement Adjustable gain and filtering for signal conditioning Compatible with various types of microcontrollers and data acquisition systems Comes with reusable electrodes and a 3.5mm jack cable for easy connection
Reference: RBD-550
Supply Voltage: 4.5 – 5.5 V. Current : <40 mA. Digital Interface : 5V TTL level for UART interface and GPIO. Support maximum 80 voice commands, with each voice 1500ms (one or two words speaking). Maximum 7 voice commands effective at same time. Arduino library is supplied. User-control General Pin Output. RoboticsBD
Reference: RBD-0348
A Color-Coded Cable, with a standard male header connectors. Plug it straight into an Arduino or a Breadboard. No soldering is required. The Pulse Sensor has 3 holes around the outside edge which make it easy to sew it into almost anything. Visualization software (made in Processing) to instantly see the output of the sensor and for troubleshooting....
Reference: RBD-1243
Resolution: 500dpi Supply current: <60mA Supply voltage: 3.3V Fingerprint image entry time: <1.0 seconds Peak current: <60mA
Reference: RBD-0429
High precision determination accurate to 1 Lu for different lights Operating Voltage: 3-5VDC Built-in 16bit A/D converter I2C interface
Reference: RBD-2722
Add computer vision capabilities to your project, without the coding! The Person Sensor includes a camera module pre-programed and connected over Qwiic... Person Sensor V1.1 by Useful Sensors
Reference: RBD-0337
Brand: Waveshare
Detection depth: 48mm Power: 2.0V ~ 5.0V Dimension: 19.0mm * 63.0mm Mounting holes size: 2.0mm
Reference: RBD-2122
Working Voltage:1.8 to 5.5 V Shutdown Current:0.7µA Color:Green
Reference: RBD-2152
Human Presence Radar LD2410 Respiration and Heartbeat Monitoring Non-contact Induction Sensor High-sensitivity 24GHz sensing module
Reference: RBD-1737
Fastest fingerprint identification in the world, Support multi fingerprint Instant match.
Reference: RBD-2710
Why is an analog eyeblink sensor better than a digital eyeblink sensor? Currently, most eye blink sensors on the market are digital. they can only distinguish between the eye being fully closed or fully open, unable to detect partial blinks or quick blinks. However, the analog sensor provides waveforms. By analyzing analog values, you can detect full...
Reference: RBD-0553
Supply voltage: DC 3.6 ~ 6.0V / 3.3V Supplying Supply Current: Current: <120mA Peak current: <140mA Fingerprint image time: <1.0 seconds
Reference: RBD-0102
Description: Fingerprint scanners are awesome. Why use a key when you have one right at the tip of your finger? Unfortunately, they're usually unreliable or difficult to implement. Well not anymore! We've found this great fingerprint module from ADH-Tech that communicates over TTL Serial so you can easily embed it into your next project.
Reference: RBD-2888
A sensor that allows you to measure your pulse with your finger using a phototransistor. The red LED lights up each time it detects a pulse. Powered by 5 V.
Reference: RBD-2452
This Pulse Sensor is a heart rate sensor designed for Arduino microcontrollers. Development professionals use. The Pulse Sensor Kit brings you all the experience you need, a complete package. The kit includes: A 24inch 3p DuPont line, A soft Velcro Finger Strap, A sensor size sensor ear clip, 4 Velcro dots, and 9 transparent protective dot Pulse Sensor is...
Reference: RBD-3055
Unlock the potential of brainwave technology with the Taurus TGAM Brainwave Sensor Module Development Kit, a comprehensive tool for developers working on NeuroSky EEG systems. This kit includes the EEG control headband and the Mindwave feedback headset, allowing you to capture and analyze single-channel brainwave signals with precision. Perfect for...
Reference: RBD-0419
Features: Built-in Red, IR, and Green LEDs 5V operation (3.3V is allowed, but green LED is not guaranteed to operate) Applications include presence detection, distance sensing (18" max), pulse oximetry, blood oxygen saturation level (SpO2), smoke and particle detection Documents: Schematic Eagle Files Hookup Guide Datasheet (MAX30105) MAX3010x Sensor...
Reference: RBD-0391
Designed to extract, amplify, and filter small biopotential signals. Leads-Off Detection. Shutdown Pin. LED Indicator. Analog Output. 3.5 mm Jack for Biomedical Pad Connection. RoboticsBD
Reference: RBD-0411
Low current consumption (typical 30 mA) CW or pulse operation Flat profile Long detection range (20 m) Supply voltage: 4.75V to 5.25V X-Band Frequency: 10.525 GHz Minimum Power Output: 13 dBm EIRP. RoboticsBD
Reference: RBD-1347
TTP223 Capacitive Touch switch Digital Touch Sensor Module for Arduino UNO DUE MEGA TTP223 capacitive touch single IC. Onboard level indicator. Working voltage: 2.0V to 5.5V.
Reference: RBD-3142
The Taurus TGM Single-Channel EEG Module is an advanced brain wave sensor designed for real-time monitoring and analysis of brain activity. Utilizing the TGAM chip technology, this module provides high-resolution EEG data, capturing signals at a 512Hz sampling rate. With direct output for raw EEG, focus, relaxation, and spectrum analysis, this module is...