Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
TWR-K21F120M

TWR-K21F120M

NXP Semiconductors

TOWER SYSTEM K21 EVAL BRD

0

MIKROE-2445

MIKROE-2445

MikroElektronika

MINI-M4 MK64FN1M0VDC12 EVAL BRD

0

ATSAMA5D3-XPLD

ATSAMA5D3-XPLD

Roving Networks / Microchip Technology

BRD XPLAINED SAMA5D36 EVAL BRD

5

MIKROE-1292

MIKROE-1292

MikroElektronika

EASYPIC FUSION V7 EVAL BRD

0

DEV-12587

DEV-12587

SparkFun

PRO MICRO ATMEGA32U4 3.3V/8MHZ

53

MIKROE-2640

MIKROE-2640

MikroElektronika

MIKROLAB FOR PIC18FK EVAL BD

0

SPC564AKIT324S

SPC564AKIT324S

STMicroelectronics

SPC564A EVAL BRD

0

TMDSEVM6678L

TMDSEVM6678L

Texas Instruments

TMS320C6678 EVAL BRD

1

MIKROE-2652

MIKROE-2652

MikroElektronika

MIKROLAB DSPIC33EP MIKROC

0

102010026

102010026

Seeed

SEEEDUINO ATMEGA328P EVAL BRD

6

C8051F300DK

C8051F300DK

Silicon Labs

C8051F30X EVAL BRD

0

FM0-V48-S6E1A1

FM0-V48-S6E1A1

Cypress Semiconductor

S6E1A1 EVAL BRD

2

MIKROE-3525

MIKROE-3525

MikroElektronika

MCU CARD 9 FOR STM32 STM32F373RC

5

KITXMC47RELAXLITEV1TOBO1

KITXMC47RELAXLITEV1TOBO1

IR (Infineon Technologies)

RELAX LITE KIT XMC4700 EVAL BRD

5

SLN-LOCAL-IOT

SLN-LOCAL-IOT

NXP Semiconductors

RT106L DEV VOICE OFFLINE

0

V2M-MPS3-0341A

V2M-MPS3-0341A

Keil (ARM)

MPS3 CORTEX PROTOTYPING SYSTEM

3

MIKROE-2018

MIKROE-2018

MikroElektronika

MIKROLAB FOR 8051 AT89S8253

0

RTK7EKA6M1S00001BU

RTK7EKA6M1S00001BU

Renesas Electronics America

EVALUATION KIT FOR RA6M1 (EK-RA6

16

DM182030

DM182030

Roving Networks / Microchip Technology

PIC18F57Q84-CNANO

0

MCIMX7SABRE

MCIMX7SABRE

NXP Semiconductors

SABRE I.MX 7DUAL EVAL BRD

0

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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