Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
EV70C97A

EV70C97A

Roving Networks / Microchip Technology

PIC18F16Q40 CURIOSITY NANO EVALU

41

EV50J96A

EV50J96A

Roving Networks / Microchip Technology

ATTINY3217 CURIOSITY NANO BRD

21

DT100113

DT100113

Roving Networks / Microchip Technology

PIC32MK MCJ CURIOSITY PRO

24

DM320004-2

DM320004-2

Roving Networks / Microchip Technology

PIC32 ETHERNET STARTER KIT II

48

EV35L43A

EV35L43A

Roving Networks / Microchip Technology

AVR128DB48 CURIOSITY NANO EVALUA

25

DM164137

DM164137

Roving Networks / Microchip Technology

CURIOSITY 8/14/20 PIN PIC EVAL

107

DM330027

DM330027

Roving Networks / Microchip Technology

DSPIC33EDV64MC205 DEVELOPMENT BO

3

ATSAMA5D27-SOM1-EK1

ATSAMA5D27-SOM1-EK1

Roving Networks / Microchip Technology

SAMA5D27 EVAL BRD

35

DM240018

DM240018

Roving Networks / Microchip Technology

PIC24F CURIOSITY DEV BOARD

2

DM164144

DM164144

Roving Networks / Microchip Technology

PIC16F18446 CURIOSITY NANO BRD

0

ATSAM4L8-XSTK

ATSAM4L8-XSTK

Roving Networks / Microchip Technology

SAM4L8 XPLAINED PRO ATSAM4LC8

2

ATSAM4L8-XPRO

ATSAM4L8-XPRO

Roving Networks / Microchip Technology

SAM4L8 XPLAINED PRO ATSAM4LC8

24

AC164164

AC164164

Roving Networks / Microchip Technology

PIC-IOT WG GOOGLE CLOUD EVAL BRD

125

DM330026

DM330026

Roving Networks / Microchip Technology

DSPIC33EP128GS808 EVAL BRD

13

AT32UC3L0-XPLD

AT32UC3L0-XPLD

Roving Networks / Microchip Technology

UC3-L0 XPLAINED AT32UC3L016 EVAL

2

DM320107

DM320107

Roving Networks / Microchip Technology

PIC32MM USB CURIOSITY EVAL BRD

6

ATSAMC21-XPRO

ATSAMC21-XPRO

Roving Networks / Microchip Technology

SAM C21 XPLAINED PRO ATSAMC21

38

DM320114

DM320114

Roving Networks / Microchip Technology

SAMA5D36 EVAL BRD

0

ATSAMG55-XPRO

ATSAMG55-XPRO

Roving Networks / Microchip Technology

SAM G55 XPLAINED PRO ATSAMG55

26

AT91SAM9G10-EK2

AT91SAM9G10-EK2

Roving Networks / Microchip Technology

AT91SAM9G10 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
RFQ BOM Call Skype Email
Top