Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
80-000512

80-000512

Critical Link

AM3359 EVAL BRD

0

902-0084-040

902-0084-040

ROBOTIS

OPENCM9.04-C STM32F103CB EV BRD

151

SPC582B-DIS

SPC582B-DIS

STMicroelectronics

DISCOVERY SPC582B EVAL BRD

0

DEV-16791

DEV-16791

SparkFun

MICROMOD SAMD51 PROCESSOR

240

M5485HFEE

M5485HFEE

Logic PD (Beacon EmbeddedWorks)

ZOOM MCF5485 EVAL BRD

0

MAX28200WEVKIT#

MAX28200WEVKIT#

Maxim Integrated

MAX28200 EVAL BRD

81

102110001

102110001

Seeed

BEAGLEBONE BLK REV C AM3358BZCZ

0

MIKROE-1002

MIKROE-1002

MikroElektronika

EASYPIC PRO V7 EVAL BRD

0

NUCLEO-H743ZI2

NUCLEO-H743ZI2

STMicroelectronics

NUCLEO-144 BOARD STM32H743ZI

1267

TMDX5502EZDSP

TMDX5502EZDSP

Texas Instruments

EZDSP TMS320VC5502 EVAL BRD

5

MIKROE-2657

MIKROE-2657

MikroElektronika

MIKROLAB FOR PIC32 EVAL BD

0

PG22-DK2503A

PG22-DK2503A

Silicon Labs

EFM32 PG22 32-BIT MCU DEV KIT

8

DM330013-2

DM330013-2

Roving Networks / Microchip Technology

MICROSTICK II DSPIC33/24FJ/H/32

93

POCKETBEAGLE-SC-569

POCKETBEAGLE-SC-569

GHI Electronics, LLC

POCKETBEAGLE OSD3358 EVAL BRD

2453

MAC57D5-516DC

MAC57D5-516DC

NXP Semiconductors

MAC57D5XX EVAL BRD

0

MPC5534EVBE

MPC5534EVBE

Freescale Semiconductor, Inc. (NXP Semiconductors)

MPC5534 EVAL BRD

0

BOOST5545ULP

BOOST5545ULP

Texas Instruments

TMS320C5545 EVAL BRD

2

MAX32631-EVKIT#

MAX32631-EVKIT#

Maxim Integrated

MAX32631 EVAL BRD

46

MPC5604EEVB64

MPC5604EEVB64

NXP Semiconductors

SPC5604 EVAL BRD

1

MIKROE-2567

MIKROE-2567

MikroElektronika

CLICKER 2 DSPIC33EP512MU810

10

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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