Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
DEV-13841

DEV-13841

SparkFun

TESSEL 2 MT7620N/SAMD21 EVAL BRD

0

DV164122

DV164122

Roving Networks / Microchip Technology

PICKIT SERIAL ANALYZER PIC16F886

17

V2M-JUNO-0317D

V2M-JUNO-0317D

Keil (ARM)

VERSATILE EXPRESS V2M-JUNO R2

1

MIKROE-707

MIKROE-707

MikroElektronika

MIKROBOARD PIC18F8520 EVAL BRD

0

TRK-KEA128

TRK-KEA128

NXP Semiconductors

STARTERTRAK KEA128 EVAL BRD

2

SDK-DM3730-10-256512R

SDK-DM3730-10-256512R

Logic PD (Beacon EmbeddedWorks)

ZOOM AM37X/DM37X EVAL BRD

0

DM080104

DM080104

Roving Networks / Microchip Technology

ATTINY1627 CURIOSITY NANO

11

STM8S-DISCOVERY

STM8S-DISCOVERY

STMicroelectronics

DISCOVERY STM8S105 EVAL BRD

0

OM13098UL

OM13098UL

NXP Semiconductors

LPCXPRESSO LPC54628 EVAL BRD

63

DEVKIT-ZVL128

DEVKIT-ZVL128

NXP Semiconductors

S12ZVLA128 EVAL BRD

4

DK-DEV-5SGSMD5N

DK-DEV-5SGSMD5N

Intel

5SGSMD5K2F40C2N EVAL BRD

2

OM13089UL

OM13089UL

NXP Semiconductors

LPCXPRESSO LPC54114 EVAL BRD

20

CY8CKIT-043

CY8CKIT-043

Cypress Semiconductor

PSOC 4200M EVAL BRD

86

TMDSCNCD28343

TMDSCNCD28343

Texas Instruments

CONTROLCARD TMS320C28343 EVAL BD

4

NUCLEO-WB55RG

NUCLEO-WB55RG

STMicroelectronics

STM32 NUCLEO-64 DEVELOPMENT BOAR

18

MIKROE-1621

MIKROE-1621

MikroElektronika

EASYMX PRO V7 TM4C123GH6PZL

0

MIMXRT1010-EVK

MIMXRT1010-EVK

NXP Semiconductors

I.MXRT1010 EVAL KIT

143

OM13093UL

OM13093UL

NXP Semiconductors

LPCXPRESSO LPC11C24 EVAL BRD

24

UPMU-F850-B-EK

UPMU-F850-B-EK

Silicon Labs

UDP C8051F850 EVAL BRD

1

A000093

A000093

Genuino (Arduino)

ARDUINO MICRO W/OUT HDRS ATMEGA3

400

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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