Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
IX4351-EVAL

IX4351-EVAL

Wickmann / Littelfuse

EVALUATION BOARD FOR IX4351

1218

LF-SIC-EVB-GDEV1

LF-SIC-EVB-GDEV1

Wickmann / Littelfuse

EVAL GATE DRIVE PLATFORM GDEV

6

CPC5622-EVAL-600R

CPC5622-EVAL-600R

Wickmann / Littelfuse

LITELINK III EVALUATION BOARD

0

CPC5622-EVAL-EUR

CPC5622-EVAL-EUR

Wickmann / Littelfuse

BOARD EVAL LITELINK III NA/EU

2

CPC5902G_5903G-EVAL

CPC5902G_5903G-EVAL

Wickmann / Littelfuse

BOARD EVAL CPC5902 CPC5903

0

EVDP610

EVDP610

Wickmann / Littelfuse

BOARD EVALUATION IXDP610

0

ZEN164V130A24LS-TB

ZEN164V130A24LS-TB

Wickmann / Littelfuse

POLYZEN 16.4V PPTC/ZENR TEST BRD

0

CPC5621-EVAL-CDL

CPC5621-EVAL-CDL

Wickmann / Littelfuse

LITELINK III EVALUATION BOARD

0

ZEN065V230A16LS-TB

ZEN065V230A16LS-TB

Wickmann / Littelfuse

POLYZEN 6.5V PPTC/ZENR TEST BRD

0

ZEN132V130A24LS-TB

ZEN132V130A24LS-TB

Wickmann / Littelfuse

POLYZEN 13.2V PPTC/ZENR TEST BRD

0

CPC5621-EVAL-RDL

CPC5621-EVAL-RDL

Wickmann / Littelfuse

LITELINK III EVALUATION BOARD

0

ZEN056V230A16LS-TB

ZEN056V230A16LS-TB

Wickmann / Littelfuse

POLYZEN 5.6V PPTC/ZENR TEST BRD

0

ZEN056V130A24LS-TB

ZEN056V130A24LS-TB

Wickmann / Littelfuse

POLYZEN 5.6V PPTC/ZENR TEST BRD

0

EVDD430CI

EVDD430CI

Wickmann / Littelfuse

BOARD EVALUATION IXDD430CI

0

EVDD430MCI

EVDD430MCI

Wickmann / Littelfuse

BOARD EVALUATION IXDD430MCI

0

EVDN409

EVDN409

Wickmann / Littelfuse

BOARD EVALUATION IXDN409

0

EVLB002

EVLB002

Wickmann / Littelfuse

KIT EVAL NONDIM LIGHT BALLAST

0

EVDI402

EVDI402

Wickmann / Littelfuse

BOARD EVALUATION IXDI402

0

EVDD408

EVDD408

Wickmann / Littelfuse

EVALUATION BOARD FOR IXDD408 DVR

0

IX21844-EVAL

IX21844-EVAL

Wickmann / Littelfuse

BOARD EVAL DEMO IX21844

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