Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
S12ZVML12EVBLIN

S12ZVML12EVBLIN

NXP Semiconductors

BOARD EVAL S12ZVM

0

NX5DV330EVB

NX5DV330EVB

NXP Semiconductors

BOARD EVALUATION FOR NX5DV330

0

OM13589JP

OM13589JP

NXP Semiconductors

A1006 DEMONSTRATION KIT

0

OM13006,598

OM13006,598

NXP Semiconductors

BOARD EVAL EM773 METER EU PLUG

0

OM13320,598

OM13320,598

NXP Semiconductors

KIT EVAL BOARD I2C-BUS FM+

0

OM15034Z

OM15034Z

NXP Semiconductors

CCTW LED PLATE

0

OM12000/1020000:55

OM12000/1020000:55

NXP Semiconductors

MOD ATOP AUTO TELEMATIC SOP022

0

OM67111/MUL

OM67111/MUL

NXP Semiconductors

DEVELOPMENT TOOL

0

KIT33811EGEVBE

KIT33811EGEVBE

NXP Semiconductors

KIT EVAL 33811 SOLENOID MON IC

0

E3TDA19988AHN/DB,5

E3TDA19988AHN/DB,5

NXP Semiconductors

EVAL DAUGHTER BOARD TDA19988AHN

0

OM13221/ASC3112UL

OM13221/ASC3112UL

NXP Semiconductors

DEMO BOARD OM13221/ASC3112

0

KIT33794DWBEVM

KIT33794DWBEVM

NXP Semiconductors

KIT EVAL FOR MC33794 EFS SYSTEM

0

OM12097,599

OM12097,599

NXP Semiconductors

KIT OM12097

0

OM15039Z

OM15039Z

NXP Semiconductors

DEMO BD CONNECTOR RPSMA

0

OM15037Z

OM15037Z

NXP Semiconductors

DR1189 DEMOBOARDS

0

KIT33886DHEVB

KIT33886DHEVB

NXP Semiconductors

KIT EVAL FOR MC33886 H-BRIDGE

0

KIT33996EKEVB

KIT33996EKEVB

NXP Semiconductors

KIT EVAL 33996 16OUTPUT SW W/SPI

0

KIT33298DWEVB

KIT33298DWEVB

NXP Semiconductors

KIT EVAL FOR MC33298 SMART SW

0

NXQ1TXH5DB1402UL

NXQ1TXH5DB1402UL

NXP Semiconductors

NXQ1TXH5 DEMOBOARD 1401

0

SP05145-02UL

SP05145-02UL

NXP Semiconductors

SP05145-02

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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