Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
MIKROE-3837

MIKROE-3837

MikroElektronika

MIKROMEDIA 5 FOR STM32F4 CAP FPI

3

MIKROE-3842

MIKROE-3842

MikroElektronika

MCU CARD FOR STM32 STM32F417ZG

3

MPC5746R-144DS

MPC5746R-144DS

NXP Semiconductors

MPC5746R EVAL BRD

0

SLTB009A

SLTB009A

Silicon Labs

THUNDERBOARD EFM32GG12 EVAL BRD

55

C8051F120DK

C8051F120DK

Silicon Labs

C8051F12X EVAL BRD

0

YSTBS3A6E10

YSTBS3A6E10

Renesas Electronics America

SYNERGY S3A6 EVAL BRD

1

102110425

102110425

Seeed

SIPEED MAIXCUBE ALL-IN-ONE AI DE

49

DEV-14525

DEV-14525

SparkFun

REDBOARD ATMEGA328 EVAL BRD

4

NT-NUC123S

NT-NUC123S

Nuvoton Technology Corporation America

NUC123 EVAL BRD

5

MIKROE-3715

MIKROE-3715

MikroElektronika

MCU CARD 15 FOR STM32 STM32F723Z

2

MIKROE-755

MIKROE-755

MikroElektronika

MIKROMEDIA ATXMEGA128A1 EVAL BRD

0

QSK-62P PLUS

QSK-62P PLUS

BNS Solutions

QUICK START KIT M16C/62P EVAL BD

0

AT32UC3A3-XPLD

AT32UC3A3-XPLD

Roving Networks / Microchip Technology

UC3-A3 XPLAINED AT32UC3A3 EVAL

105

DM182028

DM182028

Roving Networks / Microchip Technology

PIC18F47K42 CURIOSITY NANO EBRD

25

MIKROE-2656

MIKROE-2656

MikroElektronika

MIKROLAB FOR PIC32 EVAL BD

0

MPC5748G-GW-RDB

MPC5748G-GW-RDB

NXP Semiconductors

MPC5748G ETHERNET GATEWAY

7

OM13097UL

OM13097UL

NXP Semiconductors

LPCXPRESSO LPC84X EVAL BRD

15

MIKROE-414

MIKROE-414

MikroElektronika

PIC-READY2 PIC MICRO MCU EVAL BD

0

UPMU-F390-A-EK

UPMU-F390-A-EK

Silicon Labs

UDP C8051F390 EVAL BRD

0

NUCLEO-F413ZH

NUCLEO-F413ZH

STMicroelectronics

NUCLEO-144 STM32F413ZH DEV EVAL

13

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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