Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
KIT33662LEFEVBE

KIT33662LEFEVBE

NXP Semiconductors

EVAL BOARD LIN 2.1 / SAEJ2602-2

0

FRDM-K32W042

FRDM-K32W042

NXP Semiconductors

FRDM-K32W042

0

FRDM-08XSF4-EVB

FRDM-08XSF4-EVB

NXP Semiconductors

FREEDOM EXPANSION BOARD MC08XSF

0

TEA1792DB1074,598

TEA1792DB1074,598

NXP Semiconductors

TEA1792TS GREENCHIP SR CONTROLLE

0

TEA1936XDB1463UL

TEA1936XDB1463UL

NXP Semiconductors

TEA1936X DEMOBOARD 1463

0

KIT35XS3400EVBE

KIT35XS3400EVBE

NXP Semiconductors

KIT EVALUATION FOR MC35XS3400

0

OM14500/TJA1102JP

OM14500/TJA1102JP

NXP Semiconductors

EVALUATION BOARD

0

KIT912J637EVME

KIT912J637EVME

NXP Semiconductors

BOARD EVAL BATT SENSOR 912J637

0

OM13550UL

OM13550UL

NXP Semiconductors

NX5P2924 LOAD SWITCH BOARD

0

TWR-MC-MVHB1EVB

TWR-MC-MVHB1EVB

NXP Semiconductors

TOWER SYSTEM KIT MC33932 MC33926

0

KITFS85FRDMEVM

KITFS85FRDMEVM

NXP Semiconductors

FS84/FS85 SBC KL25Z EVAL BRD

14

KIT10XS6325EKEVB

KIT10XS6325EKEVB

NXP Semiconductors

EVALUATION KIT - MC10XS6325 12

0

KIT10XS3425EVBE

KIT10XS3425EVBE

NXP Semiconductors

EVALUATION KIT - MC10XS3425 QUA

0

KITPF0200EPEVBE

KITPF0200EPEVBE

NXP Semiconductors

EVALUATION KIT - MMPC0200 PMIC

0

KIT07XS6517EVB

KIT07XS6517EVB

NXP Semiconductors

EVALUATION KIT - MC07XS6517 TRI

0

UJA1168AF-EVB

UJA1168AF-EVB

NXP Semiconductors

UJA1168AF EVAL BOARD

1

RDAIRBAGPSI5-1

RDAIRBAGPSI5-1

NXP Semiconductors

REF DESIGN AIRBAG SPC560X MCU

0

OM13480UL

OM13480UL

NXP Semiconductors

NVT4555UK SIM CARD LT/LDO WL CSP

0

FRDM-17529EVB

FRDM-17529EVB

NXP Semiconductors

FRDM-17529EVB

0

MTRCKTSPS5744P

MTRCKTSPS5744P

NXP Semiconductors

AUTOMOTIVE PMSM DEVELOPMENT KIT

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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