Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
UEZGUI-4357-50WVN

UEZGUI-4357-50WVN

Future Designs, Inc.

5.0" PCAP TOUCH LCD GUI DEV KIT

7

OM13314,598

OM13314,598

NXP Semiconductors

BOARD DEMO TDA5051A

1

2483

2483

Pololu Corporation

SPDT CARRIER WITH 12VDC RELAY

44

EVAL-ADGS5412SDZ

EVAL-ADGS5412SDZ

Analog Devices, Inc.

EVALUATION BOARD I.C.

1

129023-HMC839LP6CE

129023-HMC839LP6CE

Analog Devices, Inc.

KIT EVAL HMC839LP6CE 2FO

0

DC2429A

DC2429A

Analog Devices, Inc.

REF BOARD AND PLL/VCO SUPPLY

18

CY3679

CY3679

Cypress Semiconductor

EVAL KIT FOR CY27410

1

MAX96706COAXEVKIT#

MAX96706COAXEVKIT#

Maxim Integrated

EVAL KIT FOR MAX96706

513

BQ25302EVM

BQ25302EVM

Texas Instruments

STANDALONE SINGLE CELL 2-A BUCK

17

LV8735VGEVB

LV8735VGEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL FOR LV8735V

1

DP149RSBEVM

DP149RSBEVM

Texas Instruments

EVALUATION MODULE

3

UMFT234XD-NC

UMFT234XD-NC

Future Technology Devices International, Ltd.

BRD BRKOUT USB FT234XD NO CONCTR

7

TMDSHVMTRPFCKIT

TMDSHVMTRPFCKIT

Texas Instruments

KIT DEV HV PFC MOTOR CONTROL

0

EVAL2293Q

EVAL2293Q

STMicroelectronics

BOARD DEMO FOR L2293Q 4CH DRIVER

3

DC815A

DC815A

Analog Devices, Inc.

LT6552CDD LT6552CS8 - VIDEO LINE

1

CP2114-EK

CP2114-EK

Silicon Labs

KIT EVAL CP2114

2

EV002-GLF71310

EV002-GLF71310

GLF Integrated Power

GLF71310 EVB

5

EPC9039

EPC9039

EPC

BOARD DEV FOR EPC2103 80V EGAN

37

BAP-1950A-C02K2-0-5-6OL

BAP-1950A-C02K2-0-5-6OL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

BQ24013EVM

BQ24013EVM

Texas Instruments

EVAL MOD FOR BQ24013

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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