Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TEA1993DB1357UL

TEA1993DB1357UL

NXP Semiconductors

TEA1993 DEMOBOARD 1357

0

KITFS85SKTEVM

KITFS85SKTEVM

NXP Semiconductors

FS8500 SBC EVAL BRD W/ SOCKET

9

KITFS85AEEVM

KITFS85AEEVM

NXP Semiconductors

FS84/FS85 SBC KL25Z EVAL BRD

17

OM13500UL

OM13500UL

NXP Semiconductors

PCA9620 EVALUATION BOARD

0

KIT33908MBEVBE

KIT33908MBEVBE

NXP Semiconductors

KIT EVAL MC33908 MOTHER BOARD PO

0

KIT33975AEWEVBE

KIT33975AEWEVBE

NXP Semiconductors

KIT EVALUATION FOR MC33975

0

OM13506UL

OM13506UL

NXP Semiconductors

PCF8553 LCD DEMO BOARD

0

WCT-15W1CFFPD

WCT-15W1CFFPD

NXP Semiconductors

22W QI WIRELESS CHARGE BOARD

0

KIT33662JEFEVBE

KIT33662JEFEVBE

NXP Semiconductors

EVAL BOARD LIN 2.1 / SAEJ2602-2

0

TEA1716DB1255UL

TEA1716DB1255UL

NXP Semiconductors

TEA1716 90W / 19.5V RESONANT LLC

0

KITPF8100FRDMEVM

KITPF8100FRDMEVM

NXP Semiconductors

FRDM EXPANSION BOARD PF8100

6

FRDMFS6523CAEVM

FRDMFS6523CAEVM

NXP Semiconductors

FREEDOM EXPANSION KIT FS6523 SY

1

EV-INVERTER

EV-INVERTER

NXP Semiconductors

EV PWR INV CONTROL REF PLATFORM

0

FRDM-17511EVB

FRDM-17511EVB

NXP Semiconductors

FRDM-17511EVB

0

TWR-17510EVB

TWR-17510EVB

NXP Semiconductors

TOWER SYSTEM KIT MPC17510

0

KITVR5510DA0EVM

KITVR5510DA0EVM

NXP Semiconductors

EVAL BOARD VR5510 PMIC

0

FRDM-10XSDBEVB

FRDM-10XSDBEVB

NXP Semiconductors

FREEDOM PLATFORM DAUGHTER BOARD

0

FRDM-HB2001FEVM

FRDM-HB2001FEVM

NXP Semiconductors

FREEDOM EXPANSION BOARD HB2001

0

OM13557UL

OM13557UL

NXP Semiconductors

NX18P3001 LOAD SWITCH BOARD

0

FRDM-34931-EVB

FRDM-34931-EVB

NXP Semiconductors

FREEDOM EXPANSION BOARD - MC3493

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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