Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
STEVAL-MKI155V2

STEVAL-MKI155V2

STMicroelectronics

MICROPHONE COUPON BRD MP34DB02

8

EVA-BOARD CPRV2XXX

EVA-BOARD CPRV2XXX

Finisar Corporation

EVAL BRD CPRV2XXX COHERENT RECEI

1

EV-ADF4360-3EB1Z

EV-ADF4360-3EB1Z

Analog Devices, Inc.

BOARD EVAL FOR ADF4360-3

3

DK-RV-1.8-33

DK-RV-1.8-33

ams

EVAL KIT SQUIGGLE MOTOR

2

DC890B

DC890B

Analog Devices, Inc.

BOARD USB DATA COLLECTION

38

MAX16126EVKIT#

MAX16126EVKIT#

Maxim Integrated

EVAL BOARD FOR MAX16126

113

EVAL-ADN4650EBZ

EVAL-ADN4650EBZ

Analog Devices, Inc.

EVAL BOARD FOR ADN4650

8

EV001-GLF71321

EV001-GLF71321

GLF Integrated Power

GLF71321 EVB

5

SI53119-EK

SI53119-EK

Silicon Labs

EVAL KIT FOR SI53119

0

EVAL-ADCMP604BKSZ

EVAL-ADCMP604BKSZ

Analog Devices, Inc.

BOARD EVAL FOR ADCMP604 SC70-6

1

TSW1405EVM

TSW1405EVM

Texas Instruments

KIT EVAL DATA CAPTURE CARD

2

STEVAL-CBP005V1

STEVAL-CBP005V1

STMicroelectronics

BOARD DEMO FRONT PANEL STLED316S

0

BAP-1950A-C02A2-0-4-5CL

BAP-1950A-C02A2-0-4-5CL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

AD9543/PCBZ

AD9543/PCBZ

Analog Devices, Inc.

EVALUATION BOARD AD9543

1

LV8860VGEVB

LV8860VGEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL FOR LB8860V

3

NCP382LMN20AGEVB

NCP382LMN20AGEVB

Sanyo Semiconductor/ON Semiconductor

EVAL BOARD NCP382LMN20AG

0

BOB-09868

BOB-09868

SparkFun

ADMP401 MEMS MICROPHONE

0

PE0601-7164

PE0601-7164

CML Microcircuits

CMX7164 EVALUATION KIT

5

127272-HMC783LP6CE

127272-HMC783LP6CE

Analog Devices, Inc.

EVAL BOARD HMC783LP6CE

1

MIKROE-68

MIKROE-68

MikroElektronika

BOARD CAN DEV TOOL W/SPI

2

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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