Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
UEZGUI-4088-43WQN

UEZGUI-4088-43WQN

Future Designs, Inc.

4.3" PCAP TOUCH LCD GUI DEV KIT

0

DC1959B-A

DC1959B-A

Analog Devices, Inc.

DEMO BOARD FOR LTC6948-1

5

EV_ICS-40300-FX

EV_ICS-40300-FX

TDK InvenSense

ICS-40300 EVALUATION BOARD

59

CY4613

CY4613

Cypress Semiconductor

DEV KIT FOR EMBEDDED

2

DRV10866EVM

DRV10866EVM

Texas Instruments

MODULE EVAL FOR DRV10866

11

TPD1E04U04EVM

TPD1E04U04EVM

Texas Instruments

EVAL BOARD FOR TPD1E04U04

4

EVL6562A-400W

EVL6562A-400W

STMicroelectronics

BOARD EVAL FOR L6562AX

2

DFR0756

DFR0756

DFRobot

DC-DC FAST CHARGE MODULE 6~32V T

0

BAP-1950A-C12A2-0-1-6CL

BAP-1950A-C12A2-0-1-6CL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

AD9516-3/PCBZ

AD9516-3/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR AD9516-3 2.0GHZ

0

EVALMASTERGAN2

EVALMASTERGAN2

STMicroelectronics

DEMONSTRATION BOARD FOR MASTERGA

4

TPD1E05U06-Q1EVM

TPD1E05U06-Q1EVM

Texas Instruments

EVALUATION MODULE

10

DC1334A

DC1334A

Analog Devices, Inc.

BOARD EVAL FOR LTC3576EUFE

2

TJA1128EVB

TJA1128EVB

NXP Semiconductors

TJA1128EVB

0

EVAL-AD5172SDZ

EVAL-AD5172SDZ

Analog Devices, Inc.

BOARD EVAL FOR AD5172

1

LDC1041EVM

LDC1041EVM

Texas Instruments

EVAL MODULE FOR LDC1041

0

DRV8848EVM

DRV8848EVM

Texas Instruments

EVAL BOARD FOR DRV8848

3

AMC1035EVM

AMC1035EVM

Texas Instruments

DEVELOPMENT DATA ACQUISITION

3

TMC5161-BOB

TMC5161-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC5161

0

NB7L14MMNGEVB

NB7L14MMNGEVB

Sanyo Semiconductor/ON Semiconductor

EVAL BOARD NB7L14MMNG

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)

RFQ BOM Call Skype Email
Top