Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
RDAIRBAGPSI5-001

RDAIRBAGPSI5-001

NXP Semiconductors

PSI5 AIRBAG REFERENCE PLATFORM

0

KITSGTL5000EVBE

KITSGTL5000EVBE

NXP Semiconductors

EVALUATION KIT - SGTL5000 LOW P

3

SLN-VIZNAS-IOT

SLN-VIZNAS-IOT

NXP Semiconductors

DEV I.MXRT106F FACE RECOGNITION

54

FRDM-HB2001-EVM

FRDM-HB2001-EVM

NXP Semiconductors

HB2001 BOARD WITH FRDM-KL25Z

0

MPC5604EKIT

MPC5604EKIT

NXP Semiconductors

KIT DEV VOE WITH MPC5604E

6

KITPF8201FRDMEVM

KITPF8201FRDMEVM

NXP Semiconductors

FRDM EXPANSION BOARD PF8201

8

KITPF7100FRDMEVM

KITPF7100FRDMEVM

NXP Semiconductors

FRDM PF7100 DEV BOARD GUI

5

OM13489UL

OM13489UL

NXP Semiconductors

UNIVERSAL 16-BIT GPIO DAUGHTER C

14

FRDMFS6522LAEVM

FRDMFS6522LAEVM

NXP Semiconductors

FREEDOM EXPANSION KIT FS6522 SY

10

MAX9286S32V234

MAX9286S32V234

NXP Semiconductors

MAXIM DESERIALIZER FOR SBC-S32V2

13

KITPF8200FRDMPGM

KITPF8200FRDMPGM

NXP Semiconductors

FRDM EXPANSION BOARD PF8200

7

OM13512UL

OM13512UL

NXP Semiconductors

DEMO BOARD PCF2123 SPI RTC

5

FRDM-MC-LVBLDC

FRDM-MC-LVBLDC

NXP Semiconductors

FREESCALE FREEDOM DEVELOPMENT BO

5

HVP-KE18F

HVP-KE18F

NXP Semiconductors

EVAL BOARD FOR KE1XF

0

OM13488UL

OM13488UL

NXP Semiconductors

UNIVERSAL 8-BIT GPIO DAUGHTER CA

3

WCT-5WTXAUTO

WCT-5WTXAUTO

NXP Semiconductors

DEVELOPMENT TOOL 5W AUTO

0

FRDMPT2001EVM

FRDMPT2001EVM

NXP Semiconductors

FREEDOM SOLENOID CONTROLLER

5

FRDM33664BEVB

FRDM33664BEVB

NXP Semiconductors

FREEDOM EXPANSION BOARD- MC3366

3

MCIMX53SMD

MCIMX53SMD

NXP Semiconductors

TABLET SABRE PLATFORM MCIMX53

0

SLN-VIZN-IOT

SLN-VIZN-IOT

NXP Semiconductors

I.MXRT106F DEV FACE RECOGNITION

7

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