Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
FRDM-17531AEPEVB

FRDM-17531AEPEVB

NXP Semiconductors

FRDM-17531AEPE

0

KIT33984CEVBE

KIT33984CEVBE

NXP Semiconductors

KIT EVAL 33984 HIGH SIDE SWITCH

0

OM13555UL

OM13555UL

NXP Semiconductors

NX5P1108 LOAD SWITCH BOARD

0

FRDM-32XSF-EVB

FRDM-32XSF-EVB

NXP Semiconductors

FRDM EXP BD - 32V IND LIGHTING 5

0

KIT9Z1J638EVM

KIT9Z1J638EVM

NXP Semiconductors

BOARD EVAL INTELLIGENT INTEGR

0

OM16000598

OM16000598

NXP Semiconductors

DEMO BOARD

0

KIT33932EKEVBE

KIT33932EKEVBE

NXP Semiconductors

KIT EVAL 5.0A THROTTLE CTRL

0

TEA1892DB1226UL

TEA1892DB1226UL

NXP Semiconductors

TEA1892TS GREENCHIP SR CONTROLLE

0

FRDM-MC36XSD-EVB

FRDM-MC36XSD-EVB

NXP Semiconductors

FRDM EXP BD - 36 V MULTIPURPOSE

0

KIT33883FRDMEVM

KIT33883FRDMEVM

NXP Semiconductors

FREEDOM EXPANSION BBOARD - MC338

1

KIT33905D5EKEVBE

KIT33905D5EKEVBE

NXP Semiconductors

KIT EVALUATION FOR MC33905

0

FRDM-33879A-EVB

FRDM-33879A-EVB

NXP Semiconductors

FREEDOM EXPANSION KIT - MC33879

0

TEA1721ADB1102UL

TEA1721ADB1102UL

NXP Semiconductors

TEA1721 CUBIC CHARGER 5W DEMO BO

0

P1010RDB-PB

P1010RDB-PB

NXP Semiconductors

BOARD REF DES NETWORK P1010

0

FRDM-17531EV-EVB

FRDM-17531EV-EVB

NXP Semiconductors

FREEDOM EVAL BOARD MPC17531

0

TEA1836DB1200UL

TEA1836DB1200UL

NXP Semiconductors

TEA1836 DEMOBOARD 1200

0

KIT34673EPEVBE

KIT34673EPEVBE

NXP Semiconductors

KIT EVALUATION FOR MC34673

0

KIT33907LAEEVB

KIT33907LAEEVB

NXP Semiconductors

EVAL KIT MC33907 SBC BUCK BOOST

0

OM67201ULUL

OM67201ULUL

NXP Semiconductors

A1007 DEMONSTRATION BOARD

0

KIT33903BD3EVBE

KIT33903BD3EVBE

NXP Semiconductors

BOARD EVAL FOR MC33903D3

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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