Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
FRDM-17510EVB

FRDM-17510EVB

NXP Semiconductors

FRDM-17510EVB

0

OM13519UL

OM13519UL

NXP Semiconductors

PCA8565 DEMOBOARD

0

FRDM-17XSF4-EVB

FRDM-17XSF4-EVB

NXP Semiconductors

FREEDOM EXPANSION BOARD MC17XSF

0

UJA1164A-EVB

UJA1164A-EVB

NXP Semiconductors

UJA1164A EVAL BOARD

1

SP05145-01UL

SP05145-01UL

NXP Semiconductors

SP05145-01

0

SJA1105SMBEVM

SJA1105SMBEVM

NXP Semiconductors

GATEWAY PROTOTYPING PLATFORM

0

KIT33905BD3EVBE

KIT33905BD3EVBE

NXP Semiconductors

KIT EVAL FOR 33905D3 3V

0

OM13500AUL

OM13500AUL

NXP Semiconductors

PCA8537 AND PCF8537 EVALUATION B

0

S32K148EVB-KIT

S32K148EVB-KIT

NXP Semiconductors

S32K148EVB WITH ADTJA1101-RMII

0

SJA1124EVB

SJA1124EVB

NXP Semiconductors

SPI TO QUAD-LIN BRIDGE EVAL BRD

0

WCT-15WTXAUTO

WCT-15WTXAUTO

NXP Semiconductors

WCT-15WTXAUTO

0

KIT33813AEEVBE

KIT33813AEEVBE

NXP Semiconductors

KIT EVAL 33813 SMALL ENGINE

0

KIT34FS6407EVB

KIT34FS6407EVB

NXP Semiconductors

EVALUATION KIT - FS6407 SAFE SY

0

TEA1995DB1294UL

TEA1995DB1294UL

NXP Semiconductors

TEA1995 DEMOBOARD 1294

0

FRDM-17C724-EVB

FRDM-17C724-EVB

NXP Semiconductors

FREEDOM EVAL BOARD MPC17C524

0

OM13586UL

OM13586UL

NXP Semiconductors

PTN5110 DOCK DEMO BOARD

0

FRDM-34931SEVM

FRDM-34931SEVM

NXP Semiconductors

FREEDOM EXPANSION BOARD- MC34931

0

KIT33978EKEVB

KIT33978EKEVB

NXP Semiconductors

EVAL KIT MC33978 SWITCH DETECT

0

FRDM-XS2410EVB

FRDM-XS2410EVB

NXP Semiconductors

FRDM EXP BOARD XS2410

0

OMA1006UK-SKT

OMA1006UK-SKT

NXP Semiconductors

OMA1006UK-SKT

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)

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