Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
XIO3130EVM

XIO3130EVM

Texas Instruments

EVAL MODULE FOR XIO3130

0

EVAL6470H-DISC

EVAL6470H-DISC

STMicroelectronics

BOARD EVAL DSPIN DISCOVERY L6470

22

DRV8801EVM

DRV8801EVM

Texas Instruments

EVAL MODULE FOR DRV8801

4

MAX1493XWEVKIT#

MAX1493XWEVKIT#

Maxim Integrated

EVAL KIT MAX14930/31/32/34/35/36

11

TPD3S716-Q1EVM

TPD3S716-Q1EVM

Texas Instruments

EVALUATION MODULE

5

WIG-12772

WIG-12772

SparkFun

SPARKFUN LOGOMATIC V2 - SERIAL S

26

MTRDEVKSPNK144

MTRDEVKSPNK144

NXP Semiconductors

S32K144 MOTOR CTRL

4

ADP1048DC1-EVALZ

ADP1048DC1-EVALZ

Analog Devices, Inc.

DAUGHTERCARD ADP1048

0

CDCS502PERF-EVM

CDCS502PERF-EVM

Texas Instruments

EVAL PERFORMANCE MOD FOR CDCS502

1

KIT0178

KIT0178

DFRobot

ESP32-S2-KALUGA-1 DEVELOPMENT BO

0

MIKROE-200

MIKROE-200

MikroElektronika

BOARD SMARTMP3 ADD-ON

1

SI5391P-A-EVB

SI5391P-A-EVB

Silicon Labs

SI5391 EVALUATION KIT

1

EVAL-ADV7393EBZ

EVAL-ADV7393EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADV7393 ENCODER

2

NCP1094GEVB

NCP1094GEVB

Sanyo Semiconductor/ON Semiconductor

EVAL BOARD FOR NCP1094 POE-PD

1

EVAL-ADAU7002Z

EVAL-ADAU7002Z

Analog Devices, Inc.

BOARD EVALUATION ADAU7002

42

SCE2-BREAKOUT

SCE2-BREAKOUT

KUROKESU

4CH. STEPPER MOTOR EVAL. BOARD

0

MIKROE-3

MIKROE-3

MikroElektronika

BOARD MEMORY MMC/SD CARD SLOT

1

KITPF502XSKTEVM

KITPF502XSKTEVM

NXP Semiconductors

KITPF502XSKTEVM

4

SD307EVK/NOPB

SD307EVK/NOPB

Texas Instruments

EVAL BOARD FOR LMH0307

1

BQ40Z80EVM-020

BQ40Z80EVM-020

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

11

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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