| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Seeed |
PITAYA GO - AN OPEN-SOURCE IOT D |
0 |
|
 |
Seeed |
MICOKIT-3166 DEVELOPMENT BOARD |
0 |
|
 |
Seeed |
EMW110 IOT MXKIT (BASE & CORE) |
0 |
|
 |
Seeed |
LINKIT SMART 7688 |
0 |
|
 |
Seeed |
WIO LITE RISC-V (GD32VF103) - WI |
60 |
|
 |
Seeed |
NRF52832-MICRO DEVELOPMENT BOARD |
4 |
|
 |
Seeed |
MICROWAVE SENSOR - 24GHZ DOPPLER |
10 |
|
 |
Seeed |
DRAGINO V2 IOT SENSOR NODE |
0 |
|
 |
Seeed |
GEEEKNET ESP32 DEVELOPMENT BOARD |
0 |
|
 |
Seeed |
M328W WIRELESS INTERNET OF THING |
0 |
|
 |
Seeed |
PARTICLE PHOTON |
0 |
|
 |
Seeed |
WIO LITE W600 - ATSAMD21 CORTEX- |
68 |
|
 |
Seeed |
HACKRF ONE |
0 |
|
 |
Seeed |
315MHZ RF LINK KIT |
10 |
|
 |
Seeed |
MT7628 DEVELOPMENT BOARD - WITH |
0 |
|
 |
Seeed |
AIR602 WIFI DEVELOPMENT BOARD |
10 |
|
 |
Seeed |
MICOKIT-3239 DEVELOPMENT BOARD |
1 |
|
 |
Seeed |
NRF52840 MDK USB DONGLE |
38 |
|
 |
Seeed |
NRF52840 MICRO DEVELOPMENT KIT |
18 |
|
 |
Seeed |
WIO LINK |
3 |
|
RF/IF (Radio Frequency/Intermediate Frequency) and RFID (Radio Frequency Identification) evaluation and development kits are hardware platforms designed to facilitate the testing, prototyping, and optimization of wireless communication systems. These kits enable engineers to validate circuit performance, debug protocols, and accelerate product development. They play a critical role in modern technologies such as IoT, 5G, smart logistics, and industrial automation by bridging theoretical design and real-world deployment.
| Type | Functional Features | Application Examples |
|---|---|---|
| RF Evaluation Boards | Focus on RF signal generation, modulation/demodulation, and impedance matching testing | 5G base station prototyping, Wi-Fi 6 module testing |
| RFID Development Kits | Support NFC, UHF/HF RFID tag/reader development with protocol analysis | Smart retail payment systems, asset tracking solutions |
| Multifunctional Development Boards | Integrate RF, microcontroller, and sensor interfaces for system-level testing | Industrial IoT gateway development, drone communication modules |
Typical products consist of: - Base PCB: Multilayer board with RF shielding compartments - RF Front-End: Includes LNA (Low Noise Amplifier), PA (Power Amplifier), and frequency synthesizers - Processing Unit: Embedded FPGA or MCU for real-time signal processing - Interface Ports: USB-C, SMA connectors, GPIO headers for peripheral expansion - Power Management: Regulated voltage supplies for different RF components
| Parameter | Description | Importance |
|---|---|---|
| Frequency Range | Operational bandwidth (e.g., 300 MHz - 6 GHz) | Determines application compatibility |
| Output Power | Transmit power level (e.g., -20 to +20 dBm) | Impacts communication distance and FCC compliance |
| Receiver Sensitivity | Minimum detectable signal level (e.g., -120 dBm) | Affects signal reliability in noisy environments |
| Impedance Matching | VSWR (Voltage Standing Wave Ratio) 2:1 | Ensures minimal signal reflection |
| Power Supply Requirements | Voltage/current specifications (e.g., 3.3V 5%) | Critical for system integration |
| Manufacturer | Representative Product | Key Features |
|---|---|---|
| Texas Instruments | AFE7444EVM | Quad-channel RF-sampling transceiver evaluation |
| STMicroelectronics | ST25RU3993-DISCO | UHF RFID reader IC development kit |
| Nordic Semiconductor | nRF52840-DK | Bluetooth 5.2 and Thread protocol testing |
| Impinj | Speedway R420 | UHF Gen2 RFID reader for logistics automation |
Key considerations include: - Frequency Compatibility: Match kit range with target application (e.g., Sub-1GHz vs 2.4GHz) - Development Ecosystem: Availability of SDKs, simulation software, and community support - Scalability: Modular design for future hardware expansion - Compliance Certifications: Pre-tested for FCC/CE regulatory standards - Cost-Performance Ratio: Balance between feature set and project budget
Emerging trends include: - Millimeter-wave Integration: Development kits supporting 24GHz+ for automotive radar - AI-Driven Testing: Embedded machine learning algorithms for signal optimization - Energy Harvesting Support: Ultra-low power RF modules for battery-free IoT devices - Cloud Integration: Over-the-air firmware updates and remote diagnostics - Standardization: Unified platform architectures across multiple vendors