Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
3-102-436

3-102-436

Schurter

CDS1 OLED SWITCH DEV KIT US

1118

SABMB221

SABMB221

Advanced Linear Devices, Inc.

SUPERCAPACITOR AUTO BAL PCB 2-CH

0

CP2120EK

CP2120EK

Silicon Labs

KIT EVAL FOR CP2120

0

STEVAL-PCC010V1

STEVAL-PCC010V1

STMicroelectronics

BOARD EVAL FOR ST802RT1

0

PCM2707EVM-U

PCM2707EVM-U

Texas Instruments

EVAL MODULE FOR PCM2707-USB

2

MTSMI-P-DK

MTSMI-P-DK

Multi-Tech Systems, Inc.

KIT DEV SOCKETMODEM PARALLEL

0

EVAL-ADF4350EB2Z

EVAL-ADF4350EB2Z

Analog Devices, Inc.

EVALUATION BOARD 2 FOR ADF4350

14

MAX40200EVKIT#

MAX40200EVKIT#

Maxim Integrated

EVAL BOARD FOR MAX40200

28

STEVAL-FET001V1

STEVAL-FET001V1

STMicroelectronics

EVAL BOARD FOR M41T62

0

SI8274ISO-KIT

SI8274ISO-KIT

Silicon Labs

SI8274/71 EVAL KIT

2

DC2739A

DC2739A

Analog Devices, Inc.

LTC2972 DEMO BOARD SET LTM4644-1

5

MAX34409EVKIT#

MAX34409EVKIT#

Maxim Integrated

EVAL BOARD FOR MAX34409

122

EPC9052

EPC9052

EPC

BOARD DEV EPC2012C EGAN FET

14

121561-HMC700LP4

121561-HMC700LP4

Analog Devices, Inc.

KIT EVAL FOR HMC700

0

EPC9204

EPC9204

EPC

EVAL BOARD FOR EPC2111

15

MIKROE-333

MIKROE-333

MikroElektronika

BOARD MICROPHONE AMP

10

BQ27GDK000EVM

BQ27GDK000EVM

Texas Instruments

EVAL MODULE FOR BQ27421-G1A

0

DS28E17K#

DS28E17K#

Maxim Integrated

EVAL KIT FOR DS28E17

917

UMFT231XE-01

UMFT231XE-01

Future Technology Devices International, Ltd.

MOD USB UART DEV 0.6" FT231X

10

LCD-09352

LCD-09352

SparkFun

SPARKFUN GRAPHIC LCD SERIAL BACK

0

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

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