Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
MCU16-STARTKIT-Q504

MCU16-STARTKIT-Q504

ROHM Semiconductor

ML620Q504H EVAL BRD

4

TMDSEVM6678LE

TMDSEVM6678LE

Texas Instruments

TMS320C6678 EVAL BRD

12

DFR0010

DFR0010

DFRobot

DFRDUINO NANO ATMEGA328 EVAL BRD

33

EVAL-ADUCM360QSPZ

EVAL-ADUCM360QSPZ

Analog Devices, Inc.

QUICKSTART PLUS ADUCM361 EVAL BD

15

NUCLEO-L053R8

NUCLEO-L053R8

STMicroelectronics

NUCLEO-64 STM32L053R8 DEV EVAL

116

DM330011

DM330011

Roving Networks / Microchip Technology

MPLAB DSPIC33FJ256GP506 EVAL BRD

2

EVAL-ADUCM320IQSPZ

EVAL-ADUCM320IQSPZ

Analog Devices, Inc.

QUICKSTART PLUS ADUCM320I EVAL

6

MIKROE-4042

MIKROE-4042

MikroElektronika

MCU CARD 7 FOR PIC PIC18F85J50

3

STM3220G-JAVA

STM3220G-JAVA

STMicroelectronics

STM32F207IGH6 EVAL BRD

0

EV70C97A

EV70C97A

Roving Networks / Microchip Technology

PIC18F16Q40 CURIOSITY NANO EVALU

41

EV50J96A

EV50J96A

Roving Networks / Microchip Technology

ATTINY3217 CURIOSITY NANO BRD

21

NK-N9H20

NK-N9H20

Nuvoton Technology Corporation America

THE EMWIN HMI EVALUATION BOARD (

20

DEV-13736

DEV-13736

SparkFun

TEENSY 3.2 K20 EVAL BRD

2331

MIKROE-3808

MIKROE-3808

MikroElektronika

EASYPIC PRO V8 DEVELOPMENT SYSTE

3

P4080DS-PC

P4080DS-PC

NXP Semiconductors

P4080 EVAL BRD

2

102010168

102010168

Seeed

SEEEDUINO LOTUS V1.1 ATMEGA328

19

NT-NUC220V

NT-NUC220V

Nuvoton Technology Corporation America

NUC220 EVAL BRD

0

TOOLSTICK931DC

TOOLSTICK931DC

Silicon Labs

TOOLSTICK C8051F92X EVAL BRD

0

STM32H7B3I-DK

STM32H7B3I-DK

STMicroelectronics

MCU & MPU EVAL TOOLS

78

DT100113

DT100113

Roving Networks / Microchip Technology

PIC32MK MCJ CURIOSITY PRO

24

Evaluation Boards - Embedded - MCU, DSP

1. Overview

Evaluation Boards (Dev Boards) for Embedded MCUs (Microcontroller Units) and DSPs (Digital Signal Processors) are specialized hardware platforms designed to facilitate the development, testing, and prototyping of embedded systems. These boards provide a physical environment to validate processor capabilities, peripheral integration, and software algorithms before final product deployment. They play a critical role in accelerating development cycles for applications ranging from IoT devices to industrial automation systems.

2. Major Types and Functional Classification

TypeFunctional FeaturesApplication Examples
MCU Evaluation BoardsARM Cortex-M series, integrated peripherals (UART, SPI, I2C), low-power modesSmart sensors, wearables, home automation
DSP Development KitsHigh-speed floating-point processing, SIMD instructions, real-time signal analysisAudio processing, radar systems, motor control
SoC Embedded BoardsIntegrated CPU+GPU+FPGA, multimedia acceleration, OS supportEdge computing, robotics, automotive infotainment
FPGA-based Prototyping BoardsReconfigurable logic, hardware-software co-design, high-speed I/O5G communication, AI inference accelerators

3. Structure and Components

Typical evaluation boards consist of:

  • PCB base with processor/microcontroller soldered onboard
  • Memory modules (SRAM, Flash, DDR)
  • Debugging interfaces (JTAG, SWD, UART)
  • Power management unit (voltage regulators, PMICs)
  • Peripheral connectors (GPIO, ADC/DAC, Ethernet)
  • Expansion headers for add-on modules (shields, PMODs)
  • Onboard sensors/actuators (depending on application focus)

4. Key Technical Specifications

ParameterImportance
Processor ArchitectureDetermines computational capabilities and software ecosystem compatibility
Maximum Clock FrequencyImpacts processing speed and real-time performance
Memory BandwidthAffects data throughput for signal processing applications
Peripheral IntegrationReduces external component requirements and system complexity
Power ConsumptionCritical for battery-powered and thermal-constrained applications
Debugging CapabilitiesEnables efficient firmware development and hardware verification

5. Application Fields

Key industries utilizing evaluation boards:

  • Industrial Automation: PLCs, motor drives, predictive maintenance systems
  • Consumer Electronics: Smart home devices, AR/VR headsets
  • Automotive: ADAS prototyping, ECU development
  • Medical: Portable diagnostic equipment, wearable health monitors
  • Communications: 5G baseband processing, software-defined radios
  • Energy: Smart grid controllers, solar inverters

6. Leading Manufacturers and Representative Products

ManufacturerProduct SeriesKey Features
STMicroelectronicsSTM32 Nucleo SeriesARM Cortex-M cores, Arduino compatibility, mbed OS support
Texas InstrumentsTMDX SeriesC2000 DSPs for power electronics, Code Composer Studio integration
NXP Semiconductorsi.MX RT SeriesARM Cortex-M7 based crossover processors, LCD interface support
XilinxZynq UltraScale+ MPSoCARM Cortex-A53 + FPGA fabric, AI acceleration with DPU

7. Selection Guidelines

Key considerations when choosing evaluation boards:

  • Match processor architecture to target application requirements (e.g., ARM for general-purpose, DSP for signal processing)
  • Verify peripheral compatibility with system design (number of timers, communication interfaces)
  • Assess expansion capabilities for future upgrades
  • Evaluate software toolchain maturity (IDE, compilers, RTOS support)
  • Consider power consumption specifications for end-application scenarios
  • Check available community resources and technical documentation

8. Industry Trend Analysis

Emerging trends shaping evaluation board development:

  • Increased integration of AI acceleration cores (e.g., Google Edge TPU integration)
  • Rise of RISC-V based evaluation platforms for customizable computing
  • Enhanced security features (trusted execution environments, hardware encryption)
  • Development of low-power wide-area network (LPWAN) enabled boards for IoT
  • Adoption of heterogeneous computing architectures (CPU+GPU+DSP+FPGA)
  • Cloud-connected evaluation platforms for remote testing and collaboration
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