Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
OM11059AUL

OM11059AUL

NXP Semiconductors

BOARD EVAL FOR I2C PCF85063

0

KITFS6522LAEEVM

KITFS6522LAEEVM

NXP Semiconductors

EVALUATION KIT - FS6522 SYSTEM

2

OM13313,598

OM13313,598

NXP Semiconductors

EVAL BOARD FOR TDA5051A

0

FRDMGD3100HBIEVM

FRDMGD3100HBIEVM

NXP Semiconductors

MC33GD3100 HALF-BRIDGE EVAL BRD

8

OM13513UL

OM13513UL

NXP Semiconductors

PCF2127 PCF2129AT DEMOBOARD

11

TWR-MC-LV3PH

TWR-MC-LV3PH

NXP Semiconductors

KIT TOWER SYST 3PH MOTR CTRL MOD

3

DEVKIT-COMM

DEVKIT-COMM

NXP Semiconductors

DEVKIT CAN/LIN/SCI EXPANSION

21

MPC5777C-DEVB

MPC5777C-DEVB

NXP Semiconductors

MPC5777C EVALUATION BOARD

6

S12ZVMBEVB

S12ZVMBEVB

NXP Semiconductors

S12ZVMBEVB EVALUATION BOARD

14

KITUSBSPIDGLEVME

KITUSBSPIDGLEVME

NXP Semiconductors

KIT EVAL USB-SPI MC68HC908JW32

3

P1020RDB-PD

P1020RDB-PD

NXP Semiconductors

BOARD REF DESIGN

15

OM13543

OM13543

NXP Semiconductors

EVAL BOARD NTS0304EPW

13

S12ZVMC12EVBCAN

S12ZVMC12EVBCAN

NXP Semiconductors

BOARD EVAL S12ZVM

5

WPR1500-LDO

WPR1500-LDO

NXP Semiconductors

BOARD RECEIVER REF PLATFORM LDO

0

OM13580,599

OM13580,599

NXP Semiconductors

DEMO KIT USB TYPE-C

0

FRDM-33926ESEVM

FRDM-33926ESEVM

NXP Semiconductors

FREEDOM BOARD MC33926

9

FRDM33772BSPIEVB

FRDM33772BSPIEVB

NXP Semiconductors

EVB FOR MC33772 SPI

8

TWR-ADCDAC-LTC

TWR-ADCDAC-LTC

NXP Semiconductors

MOD ADC DAC TOWER LINEAR TECH

4

TEA1936XDB1530UL

TEA1936XDB1530UL

NXP Semiconductors

TEA1936X DEMOBOARD 1530

5

ADTJA1101-RMII

ADTJA1101-RMII

NXP Semiconductors

ETHERNET ADAPT S32K148EVB/I.MX8

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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