Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DS125BR111EVM

DS125BR111EVM

Texas Instruments

EVAL BOARD FOR DS125BR111

1

MAXREFDES143#

MAXREFDES143#

Maxim Integrated

DEEPCOVER EMBEDDED SECURITY IOT

156

EVAL-CN0256-EBZ

EVAL-CN0256-EBZ

Analog Devices, Inc.

BOARD EVAL ISOLATED LVDS

1

EVSPIN32F06Q1S3

EVSPIN32F06Q1S3

STMicroelectronics

3-PHASE INVERTER BASED ON STSPIN

5

PD-IM-7504B

PD-IM-7504B

Roving Networks / Microchip Technology

POE EVB

4

AD9520-4/PCBZ

AD9520-4/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR AD9520-4

2

EVAL-AD5522EBUZ

EVAL-AD5522EBUZ

Analog Devices, Inc.

BOARD EVAL FOR 12X12MM AD5522

5

EVAL-ADAU1446EBZ

EVAL-ADAU1446EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADAU1446

0

DS15BR400EVK/NOPB

DS15BR400EVK/NOPB

Texas Instruments

BOARD EVALUATION DS15BR400

3

SI5347-D-EVB

SI5347-D-EVB

Silicon Labs

SI5347 EVALUATION BOARD FOR QUAD

1

TPS2493EVM-002

TPS2493EVM-002

Texas Instruments

EVAL MODULE FOR TPS2493-002

1

XRP2527EVB

XRP2527EVB

MaxLinear

BOARD EVAL POWER SWITCH XRP2527

3

6.70.00 EMBOS/IP SWITCH BOARD

6.70.00 EMBOS/IP SWITCH BOARD

Segger Microcontroller Systems

EMBOS/IP SWITCH BOARD

6

IS-ENG-KIT-7-FF

IS-ENG-KIT-7-FF

NKK Switches

SMARTDISPLAY ENG KIT 7-FF

5

SN74AVC2T244EVM

SN74AVC2T244EVM

Texas Instruments

EVAL MODULE FOR SN74AVC2T244

10

BAP-1950A-C24K1-0-4-4OL

BAP-1950A-C24K1-0-4-4OL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

BAP-1950A-C24A2-0-1-6OL

BAP-1950A-C24A2-0-1-6OL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

SI2434-D-FS18-EVB

SI2434-D-FS18-EVB

Silicon Labs

BOARD EVAL ISOMODEM 16PIN

0

DC2023A

DC2023A

Analog Devices, Inc.

DEMO BOARD PWR SPLY MANAGER

7

CP2114-PCM1774EK

CP2114-PCM1774EK

Silicon Labs

KIT EVAL CP2114-PCM1774

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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