Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
SYG-S7G2-43C-MDK

SYG-S7G2-43C-MDK

Future Designs, Inc.

SYNERGY S7G2 EVAL BRD

4

3458

3458

Adafruit

FEATHER 328P ATMEGA328P EVAL BRD

12

MIKROE-671

MIKROE-671

MikroElektronika

MINI-AT ATMEGA328 EVAL BRD

3

ATSAME54-XPRO

ATSAME54-XPRO

Roving Networks / Microchip Technology

SAM E54 XPLAINED PRO ATSAME54

83

NT-NANO130K

NT-NANO130K

Nuvoton Technology Corporation America

NANO110/NANO130 EVAL BRD

5

DM164120-4

DM164120-4

Roving Networks / Microchip Technology

PICKIT 18-PIN PIC16F1827 EVAL BD

0

EVAL-ADAU1701MINIZ

EVAL-ADAU1701MINIZ

Analog Devices, Inc.

ADAU1701 EVAL BRD

36

MIKROE-3519

MIKROE-3519

MikroElektronika

FUSION FOR ARM V8 CEC

3

NT-NANO100K

NT-NANO100K

Nuvoton Technology Corporation America

NANO100 EVAL BRD

0

MIKROE-1290

MIKROE-1290

MikroElektronika

EASYPIC FUSION V7 EVAL BRD

0

KPB-02013-001.A5

KPB-02013-001.A5

Phytec America

PHYCORE-I.MX6ULL SEGIN SBC

9

DC-ME-9210-LX

DC-ME-9210-LX

Digi

JUMPSTART DIGI CONN ME 9210 MOD

0

DM164140

DM164140

Roving Networks / Microchip Technology

MPLAB XPRESS PIC16F18855 EVAL BD

35

MIKROE-44

MIKROE-44

MikroElektronika

EASYPSOC4 CY8C27643 EVAL BRD

0

MSP-EXP430FG4618

MSP-EXP430FG4618

Texas Instruments

EXPERIMENTER MSP430FG4618/F2013

16

DFR0419

DFR0419

DFRobot

LATTEPANDA 4GB/64GB NOWIN10 KEY

48

STM32F746G-DISCO

STM32F746G-DISCO

STMicroelectronics

DISCOVERY STM32 F7 EVAL BRD

491

MIKROE-3531

MIKROE-3531

MikroElektronika

MCU CARD 22 FOR STM32 STM32F373V

3

ZIO-102034

ZIO-102034

Smart Prototyping/NOA Labs

ZIO QWIIC MICROPYTHON BOARD V1.1

19

DM320103

DM320103

Roving Networks / Microchip Technology

PIC32MX470 CURIOSITY EVAL BRD

28

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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