Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
MIKROE-1970

MIKROE-1970

MikroElektronika

CLICKER CEC1302 EVAL BRD

0

MIKROE-3535

MIKROE-3535

MikroElektronika

MCU CARD 29 FOR STM32 STM32F413R

5

MIKROE-3516

MIKROE-3516

MikroElektronika

FUSION FOR ARM V8 TIVA

4

MIKROE-598

MIKROE-598

MikroElektronika

BIG8051 C8051F040 EVAL BRD

0

MIKROE-1105

MIKROE-1105

MikroElektronika

EASYMX PRO V7 STM32F407 EVAL BRD

11

MIKROE-4007

MIKROE-4007

MikroElektronika

MCU CARD 2 FOR PIC PIC18F87K22

2

MIKROE-608

MIKROE-608

MikroElektronika

MIKROMEDIA PIC24 EVAL BRD

5

MIKROE-2008

MIKROE-2008

MikroElektronika

MIKROLAB FOR DSPIC EVAL BRD

0

MIKROE-208

MIKROE-208

MikroElektronika

BIGAVR2 EVAL BRD

0

MIKROE-2005

MIKROE-2005

MikroElektronika

MIKROLAB FOR PIC MICRO MCU

0

MIKROE-2660

MIKROE-2660

MikroElektronika

MIKROMEDIA TM4C123GH6PGEI EVAL

0

MIKROE-2714

MIKROE-2714

MikroElektronika

EASYPIC FUSION V7 32MZ2048EFH144

8

MIKROE-1160

MIKROE-1160

MikroElektronika

MIKROMEDIA PIC24EP EVAL BRD

4

MIKROE-2641

MIKROE-2641

MikroElektronika

MIKROLAB FOR PIC18FK EVAL BD

0

MIKROE-1291

MIKROE-1291

MikroElektronika

EASYPIC FUSION V7 EVAL BRD

0

MIKROE-705

MIKROE-705

MikroElektronika

MIKROBOARD DSPIC30F6014A EVAL BD

12

MIKROE-21

MIKROE-21

MikroElektronika

BIGAVR2 ATMEGA128 EVAL BRD

0

MIKROE-3514

MIKROE-3514

MikroElektronika

FUSION FOR TIVA V8

2

MIKROE-1793

MIKROE-1793

MikroElektronika

QUAIL STM32F427 EVAL BRD

2

MIKROE-2800

MIKROE-2800

MikroElektronika

CLICKER 2 PIC32MZ EVAL BRD

3

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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