Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
MIKROE-1207

MIKROE-1207

MikroElektronika

EASYPIC FUSION V7 DSPIC33EP

2

MIKROE-1622

MIKROE-1622

MikroElektronika

EASYMX PRO V7 TM4C123GH6PMI

0

MIKROE-649

MIKROE-649

MikroElektronika

UNI-DS6 LPC2148 EVAL BRD

2

MIKROE-647

MIKROE-647

MikroElektronika

STARTUSB FOR PIC18F2550 EVAL BRD

2

MIKROE-4373

MIKROE-4373

MikroElektronika

MCU CARD FOR PIC32 PIC32MX795F51

3

MIKROE-3491

MIKROE-3491

MikroElektronika

MCU CARD FOR TIVA TM4C129XNCZAD

4

MIKROE-2010

MIKROE-2010

MikroElektronika

MIKROLAB FOR DSPIC XL DSPIC30/33

0

MIKROE-1205

MIKROE-1205

MikroElektronika

EASYPIC FUSION V7 DSPIC33/PIC24/

4

MIKROE-1003

MIKROE-1003

MikroElektronika

EASYPIC PRO V7 EVAL BRD

0

MIKROE-551

MIKROE-551

MikroElektronika

AVRPLC16 V6 ATMEGA32 EVAL BRD

0

MIKROE-4009

MIKROE-4009

MikroElektronika

MCU CARD 7 FOR PIC PIC18F87J50

2

MIKROE-3835

MIKROE-3835

MikroElektronika

MIKROMEDIA 7 CAPACITIVE FPI

3

MIKROE-1770

MIKROE-1770

MikroElektronika

EASYFT90X V7 EVAL BRD

0

MIKROE-2058

MIKROE-2058

MikroElektronika

MIKROLAB FOR PIC BASIC EVAL BRD

0

MIKROE-4372

MIKROE-4372

MikroElektronika

FUSION FOR PIC32 V8 WITH PIC32MX

3

MIKROE-2051

MIKROE-2051

MikroElektronika

EASYMX PRO V7 STM32F746 EVAL BRD

3

MIKROE-3830

MIKROE-3830

MikroElektronika

MIKROMEDIA 4 FOR KINETIS CAPACIT

2

MIKROE-707

MIKROE-707

MikroElektronika

MIKROBOARD PIC18F8520 EVAL BRD

0

MIKROE-1621

MIKROE-1621

MikroElektronika

EASYMX PRO V7 TM4C123GH6PZL

0

MIKROE-3829

MIKROE-3829

MikroElektronika

MIKROMEDIA 3 FOR KINETIS CAPACIT

2

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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