Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVALKITSTKNX

EVALKITSTKNX

STMicroelectronics

MINIATURE TRANSCEIVER STKNX EVAL

2

TPS3847085EVM-577

TPS3847085EVM-577

Texas Instruments

EVAL BOARD FOR TPS3847085

13

DC2073A-D

DC2073A-D

Analog Devices, Inc.

DEMO BOARD OSC TRIPLE FIXED

2

DC1836A-B

DC1836A-B

Analog Devices, Inc.

BOARD EVAL FOR LTC2955-2

1

EH4205/EH4295KIT

EH4205/EH4295KIT

Advanced Linear Devices, Inc.

EVAL KIT FOR EH4205/EH4295

1

EVB-KSZ9897

EVB-KSZ9897

Roving Networks / Microchip Technology

KSZ9897 SWITCH EVALUATION BOARD

0

13249-01_T1

13249-01_T1

Azumo

DEV FLP ON SHARP LS032B7DD02

7

TPS2480EVM-002

TPS2480EVM-002

Texas Instruments

EVAL MODULE FOR TPS2480-002

1

OM13510UL

OM13510UL

NXP Semiconductors

BOARD EVAL PCF85263A

12

UAM-P 2010

UAM-P 2010

USound GmbH

SET INCLUDES 2 AUDIO MODULES

20

TLV320DAC3101EVM-U

TLV320DAC3101EVM-U

Texas Instruments

EVAL MODULE FOR TLV320DAC3101

2

DC1674A-B

DC1674A-B

Analog Devices, Inc.

BOARD EVAL FOR LTC4156EUFD

1

BOB-13601

BOB-13601

SparkFun

16 OUTPUT I/O EXPANDER BREAKOUT

195

TCA7408-5405EVM

TCA7408-5405EVM

Texas Instruments

EVAL MODULE FOR TCA7408/TCA5405

4

LMG1020EVM-006

LMG1020EVM-006

Texas Instruments

LMG1020EVM-006

25422

ATPL360-EK

ATPL360-EK

Roving Networks / Microchip Technology

EVK FOR ATPL360

7

EVAL-ADG5249FEBZ

EVAL-ADG5249FEBZ

Analog Devices, Inc.

EVAL BOARD FOR ADG5249

0

EKIT01-HMC6545LP5

EKIT01-HMC6545LP5

Analog Devices, Inc.

EVAL BOARD HMC6545LP5

1

JAZZ-RGB-D3

JAZZ-RGB-D3

Orient Display

LCD TESTER KIT 3.5-7" TFT+CTP

19

BM92A12MWV-EVK-001

BM92A12MWV-EVK-001

ROHM Semiconductor

USB PD EVAL BOARD FOR BM92A12MWV

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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