Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
2AAEM10941C0022

2AAEM10941C0022

e-peas SA

EVAL BOARD AEM10941 SOLAR/PV

7

MTO-EV022(TC78S122FNG)

MTO-EV022(TC78S122FNG)

Marutsuelec

TOSHIBA TC78S122FNG EVAL BOARD

0

AC243006-1

AC243006-1

Roving Networks / Microchip Technology

KIT SUPERFLASH

0

MAX17262XEVKIT#

MAX17262XEVKIT#

Maxim Integrated

KIT FOR MAX17262

1232

NCP382HMN10AGEVB

NCP382HMN10AGEVB

Sanyo Semiconductor/ON Semiconductor

EVAL BOARD NCP382HMN10AG

0

EVAL-ADM1069LQEBZ

EVAL-ADM1069LQEBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADM1069LQ

0

TPS3890EVM-775

TPS3890EVM-775

Texas Instruments

EVAL BOARD FOR TPS3890

8

SI871XDIP8-KIT

SI871XDIP8-KIT

Silicon Labs

KIT EVAL SI871X GW 8-DIP

0

EVAL-ADE7753ZEB

EVAL-ADE7753ZEB

Analog Devices, Inc.

BOARD EVALUATION AD7753

1

TPS2590EVM

TPS2590EVM

Texas Instruments

EVAL MODULE FOR TPS2590

1

TPS25810EVM-745

TPS25810EVM-745

Texas Instruments

EVALUATION MODULE TPS25810

7

DP83825EVM

DP83825EVM

Texas Instruments

DP83825EVM

8

DLPDLCR2010EVM-PCB

DLPDLCR2010EVM-PCB

Texas Instruments

EVALUATION MODULE

0

TUSB2136TPS2149PDK

TUSB2136TPS2149PDK

Texas Instruments

EVAL MOD TUSB2136/TPS2149

7

HDP-KIT-00014

HDP-KIT-00014

Rhomb.io

RHOMBIO_SAMD21DM2G1K

0

EVAL-AD5242DBZ

EVAL-AD5242DBZ

Analog Devices, Inc.

EVAL BOARD AD5242DBZ

1

DS90CR285-86ATQEVM

DS90CR285-86ATQEVM

Texas Instruments

EVALUATION MODULE

1

FT-MOD-4232HUB

FT-MOD-4232HUB

Future Technology Devices International, Ltd.

MOD USB HS HUB & SERIAL I/F

82

ECLTSSOP20EVB

ECLTSSOP20EVB

Sanyo Semiconductor/ON Semiconductor

EVAL BOARD FOR ECLTSSOP20

0

UMFT231XA-02

UMFT231XA-02

Future Technology Devices International, Ltd.

USB TO FULL HANDSHAKING UART DEV

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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