Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
MIKROE-2067

MIKROE-2067

MikroElektronika

CLICKER 2 CEC1702 EVAL BRD

0

MIKROE-1717

MIKROE-1717

MikroElektronika

CLICKER 2 PIC32MX460F512L EVAL

19

MIKROE-1623

MIKROE-1623

MikroElektronika

EASYMX PRO V7 TM4C129 EVAL BRD

0

MIKROE-3831

MIKROE-3831

MikroElektronika

MIKROMEDIA 5 FOR KINETIS CAPACIT

2

MIKROE-3784

MIKROE-3784

MikroElektronika

MCU CARD 13 FOR STM32 STM32F100Z

3

MIKROE-1153

MIKROE-1153

MikroElektronika

EASYPIC V7 DSPIC30F EVAL BRD

0

MIKROE-1625

MIKROE-1625

MikroElektronika

EASYMX PRO V7 TM4C123 EVAL BRD

0

MIKROE-2653

MIKROE-2653

MikroElektronika

MIKROLAB DSPIC33EP MIKROBASIC

0

MIKROE-2236

MIKROE-2236

MikroElektronika

FLIP & CLICK AT91SAM3X8E EVAL BD

5

MIKROE-2650

MIKROE-2650

MikroElektronika

MIKROLAB FOR DSPIC33 EVAL

0

MIKROE-1685

MIKROE-1685

MikroElektronika

CLICKER 2 STM32F407 EVAL BRD

25

MIKROE-2802

MIKROE-2802

MikroElektronika

MINI-32 PIC32MZ EVAL BRD

12

MIKROE-257

MIKROE-257

MikroElektronika

8051-READY MCU FAMILY EVAL BRD

3

MIKROE-1001

MIKROE-1001

MikroElektronika

EASYPIC PRO V7 EVAL BRD

0

MIKROE-3836

MIKROE-3836

MikroElektronika

MIKROMEDIA 5 FOR STM32F4 CAPACIT

3

MIKROE-763

MIKROE-763

MikroElektronika

MINI-32 PIC32MX534F064H EVAL BRD

42

MIKROE-3538

MIKROE-3538

MikroElektronika

MCU CARD 29 FOR STM32 STM32F205R

5

MIKROE-4511

MIKROE-4511

MikroElektronika

EASYPIC V8 FOR DSPIC30 DEVELOPME

3

MIKROE-4031

MIKROE-4031

MikroElektronika

MCU CARD 2 FOR PIC PIC18F86K90

5

MIKROE-465

MIKROE-465

MikroElektronika

PICPLC16 V6 PIC18F4520 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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