Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
ATSAMC21N-XPRO

ATSAMC21N-XPRO

Roving Networks / Microchip Technology

SAM C21N XPLAINED ATSAMC21N18A

20

ATSAMDA1-XPRO

ATSAMDA1-XPRO

Roving Networks / Microchip Technology

SAM DA1 XPLAINED PRO ATSAMDA1

9

EV26C77A

EV26C77A

Roving Networks / Microchip Technology

SAMA5D2 INDUSTRIAL COMMUNICATION

3

ATSAM4C-EK

ATSAM4C-EK

Roving Networks / Microchip Technology

SAM4C16C EVAL BRD

8

DM240004

DM240004

Roving Networks / Microchip Technology

PIC24F CURIOSITY EVAL BRD

17

ATSAMV71-XULT

ATSAMV71-XULT

Roving Networks / Microchip Technology

SAM V71 XPLAINED ULTRA EVAL BRD

24

AC103011

AC103011

Roving Networks / Microchip Technology

PIC10F322 EVAL BRD

15

DM320008

DM320008

Roving Networks / Microchip Technology

PIC32MZ GRAPHICS EVAL BRD

15

DM320007-C

DM320007-C

Roving Networks / Microchip Technology

PIC32 STARTER KIT W/ FPU PIC32MZ

88

AT32UC3A3-XPLD

AT32UC3A3-XPLD

Roving Networks / Microchip Technology

UC3-A3 XPLAINED AT32UC3A3 EVAL

105

DM182028

DM182028

Roving Networks / Microchip Technology

PIC18F47K42 CURIOSITY NANO EBRD

25

DM320003-3

DM320003-3

Roving Networks / Microchip Technology

PIC32 USB STARTER KIT III

16

ATSAM4L-EK

ATSAM4L-EK

Roving Networks / Microchip Technology

ATSAM4LC4C EVAL BRD

0

ATSAMHA1E16A-XPRO

ATSAMHA1E16A-XPRO

Roving Networks / Microchip Technology

SAMHA1E16A XPLAINED PRO ATSAMHA1

13

AT91SAM9G35-EK

AT91SAM9G35-EK

Roving Networks / Microchip Technology

AT91SAM9G35 EVAL BRD

0

ATSAML22-XPRO-B

ATSAML22-XPRO-B

Roving Networks / Microchip Technology

SAM L22 XPLAINED PRO ATSAML22

6

ATTINY817-XMINI

ATTINY817-XMINI

Roving Networks / Microchip Technology

XPLAINED MINI ATTINY817 EVAL BRD

37

ATSTK500

ATSTK500

Roving Networks / Microchip Technology

AT90S8515 EVAL BRD

6

ATSAME54-XPRO

ATSAME54-XPRO

Roving Networks / Microchip Technology

SAM E54 XPLAINED PRO ATSAME54

83

DM164120-4

DM164120-4

Roving Networks / Microchip Technology

PICKIT 18-PIN PIC16F1827 EVAL BD

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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