Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
BAP-1950A-C12K2-0-1-6OL

BAP-1950A-C12K2-0-1-6OL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

ADM1270RQ-EVALZ

ADM1270RQ-EVALZ

Analog Devices, Inc.

EVAL BOARD FOR ADM1270

2

DC1748A-B

DC1748A-B

Analog Devices, Inc.

BOARD EVAL FOR LTM2883

2

LB11685AVGEVB

LB11685AVGEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL FOR LB11685AVG

2

DRV8703D-Q1EVM

DRV8703D-Q1EVM

Texas Instruments

EVAIL MOD

6

WIZ107SR-EVB

WIZ107SR-EVB

WIZnet

EVALUATION MODULE

0

EVAL-ADM2491EEBZ

EVAL-ADM2491EEBZ

Analog Devices, Inc.

BOARD EVAL FOR ADM2491

1

LMK00306EVM/NOPB

LMK00306EVM/NOPB

Texas Instruments

BOARD EVAL FOR LMK00306

1

DC2116A-A

DC2116A-A

Analog Devices, Inc.

DEMO BOARD FOR LTC4234

0

TPD4E05U06DQAEVM

TPD4E05U06DQAEVM

Texas Instruments

EVAL MODULE FOR TPD4E05U06

3

DC1362A-B

DC1362A-B

Analog Devices, Inc.

EVAL BOARD BATT CHARGER LT3651

1

UCC28060EVM

UCC28060EVM

Texas Instruments

UCC28060EVM

3

SI5317-EVB

SI5317-EVB

Silicon Labs

BOARD EVALUATION FOR SI5317

2

EVAL01-HMC1044LP3E

EVAL01-HMC1044LP3E

Analog Devices, Inc.

EVAL BOARD HMC1044LP3E

1

OPTIGATRUSTMEVALKITTOBO1

OPTIGATRUSTMEVALKITTOBO1

IR (Infineon Technologies)

OPTIGA TRUST M EVAL KIT

5

MIKROE-198

MIKROE-198

MikroElektronika

BOARD DIGITAL POTENTIOMETER

1

IS18WWC1W-K

IS18WWC1W-K

NKK Switches

SMARTDISPLAY KIT FOR OLED ROCKER

155

BQ25896EVM-664

BQ25896EVM-664

Texas Instruments

COMPLETE CHARGER EVALUATION MODU

0

SI838XISO-KIT

SI838XISO-KIT

Silicon Labs

SI838X EVAL KIT

2

ISL28025EVKIT1Z

ISL28025EVKIT1Z

Intersil (Renesas Electronics America)

STARTER KIT EVAL F/U/W ISL28025

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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