Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
BQ24392EVM

BQ24392EVM

Texas Instruments

EVAL MODULE FOR BQ24392

4

LM5050MK-2EVAL/NOPB

LM5050MK-2EVAL/NOPB

Texas Instruments

BOARD EVAULATION LM5050

4

AMC80EVM

AMC80EVM

Texas Instruments

EVAL MODULE FOR AMC80

2

STEVAL-ISB68RX

STEVAL-ISB68RX

STMicroelectronics

EVAL BOARD FOR STWLC68 5W

8

BAP-1950A-C24A2-0-4-5CL

BAP-1950A-C24A2-0-4-5CL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

BAP-1950A-C24K1-0-P-5OL

BAP-1950A-C24K1-0-P-5OL

APS

SCR (THYRISTOR) 3-PHASE CONTROL

50

AC568G1

AC568G1

CEL (California Eastern Laboratories)

USB REDRIVER WITH USB-A RECEPTAC

0

TCA8424EVM-038

TCA8424EVM-038

Texas Instruments

EVAL MODULE FOR TCA8424

2

TS3USB221EEVM

TS3USB221EEVM

Texas Instruments

EVAL MODULE FOR TS3USB221E

3

Z16SSR00100KITG

Z16SSR00100KITG

Zilog / Littelfuse

KIT MINI-Z ZNEO SSR

0

KITDRIVER1EDN7550BTOBO1

KITDRIVER1EDN7550BTOBO1

IR (Infineon Technologies)

EVAL 1EDN7550B

5

EVAL-ADGS5414SDZ

EVAL-ADGS5414SDZ

Analog Devices, Inc.

RAPIDNET IP EVALUATION KIT

2

5V49EE901-EVB

5V49EE901-EVB

Renesas Electronics America

EVAL BOARD FOR IDT 5V49EE901

3

IS-DEV KIT-2

IS-DEV KIT-2

NKK Switches

SMARTDISPLAY DEV KIT 2

0

DV2057C

DV2057C

Texas Instruments

EVAL MOD FOR BQ2057C

1

TMC8462-EVAL

TMC8462-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC8462

0

MAX14830EVKIT#

MAX14830EVKIT#

Maxim Integrated

EVAL KIT QUAD SER UART MAX14830

1425

TCAN1046EVM

TCAN1046EVM

Texas Instruments

DEVELOPMENT INTERFACE

1

BQ76200EVM-606

BQ76200EVM-606

Texas Instruments

EVAL BOARD FOR BQ76200

1

EVM430-FE427A

EVM430-FE427A

Texas Instruments

EVAL MODULE FOR FE427A

3

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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