Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TMC7300-BOB

TMC7300-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC7300

15

KITFS6523CAEEVM

KITFS6523CAEEVM

NXP Semiconductors

EVALUATION KIT - FS6523 SYSTEM

1

CDB47L15-M-1

CDB47L15-M-1

Cirrus Logic

CS47L15 MINI BOARD

6

SP337EBEY-0A-EB

SP337EBEY-0A-EB

MaxLinear

BOARD EVALUATION FOR SP337EBEY

1

MAX274EVKIT-DIP+

MAX274EVKIT-DIP+

Maxim Integrated

KIT EVALUATION FOR MAX274

270

MAX11300EVKIT#

MAX11300EVKIT#

Maxim Integrated

EVAL KIT FOR MAX11300

69

125614-HMC853LC3

125614-HMC853LC3

Analog Devices, Inc.

BOARD EVAL FOR HMC853LC3

1

BAP-1950A-C12A2-0-1-5OL

BAP-1950A-C12A2-0-1-5OL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

DEM-OPA-SO-1E

DEM-OPA-SO-1E

Texas Instruments

UNPOPULATED DEMO BOARD

5

CP2615-EK-2

CP2615-EK-2

Silicon Labs

CP2615 USB AUDIO BRIDGE KIT

36

STEVAL-IHT003V2

STEVAL-IHT003V2

STMicroelectronics

EVAL BOARD FOR ACST6

15

BQ24171EVM-706-15V

BQ24171EVM-706-15V

Texas Instruments

EVAL MODULE FOR BQ24171-706-15V

2

MTO-EV013(TB6605FTG)

MTO-EV013(TB6605FTG)

Marutsuelec

TOSHIBA TB6605FTG EVAL BOARD

30

BAP-1950A-C12K1-0-1-5OL

BAP-1950A-C12K1-0-1-5OL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

NCP380LMU15AGEVB

NCP380LMU15AGEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL NCP380LMU15 LOAD SW

0

BQ79616EVM-021

BQ79616EVM-021

Texas Instruments

16-S AUTOMOTIVE PRECISION BATTER

12

DC1090A

DC1090A

Analog Devices, Inc.

BOARD EVAL LTC2954

12

KITA2GTC3975VTFTTOBO1

KITA2GTC3975VTFTTOBO1

IR (Infineon Technologies)

KIT_A2G_TC397_5V_TFT

24

PCM1864EVM

PCM1864EVM

Texas Instruments

IC ADC 4CH 103DB S/W 30TSSOP

5

SIT6303EB-8021AI-J4-18S-24.000000

SIT6303EB-8021AI-J4-18S-24.000000

SiTime

EVAL BOARD SIT8021 1.5X0.8MM

4

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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