Evaluation Boards - Embedded - MCU, DSP

Image Part Number Description / PDF Quantity Rfq
KITAURIXTC297TFTTOBO1

KITAURIXTC297TFTTOBO1

IR (Infineon Technologies)

EVAL TC297 TFT AURIX

28

B158-H8548-X-0-7600

B158-H8548-X-0-7600

IR (Infineon Technologies)

XC866 EVAL BRD

1

KITAURIXTC275ARDSBTOBO1

KITAURIXTC275ARDSBTOBO1

IR (Infineon Technologies)

SHIELDBUDDYTC275-AURIX

45

KITXMC48AUTBASEV2TOBO1

KITXMC48AUTBASEV2TOBO1

IR (Infineon Technologies)

AUTOMATIONBOARD XMC4800 EVAL BRD

22

KIT_TC1797_SK

KIT_TC1797_SK

IR (Infineon Technologies)

AUDO TC1797 EVAL BRD

0

KIT_TC1793_SK

KIT_TC1793_SK

IR (Infineon Technologies)

AUDO TC1793 EVAL BRD

0

KITXMC47RELAX5VADV1TOBO1

KITXMC47RELAX5VADV1TOBO1

IR (Infineon Technologies)

RELAX KIT FOR 5V SHIELDS XMC4700

1

KITXMC12BOOT001TOBO1

KITXMC12BOOT001TOBO1

IR (Infineon Technologies)

BOOT KIT XMC1200 EVAL BRD

3

KITAURIXTC267TFTTOBO1

KITAURIXTC267TFTTOBO1

IR (Infineon Technologies)

AURIX APPLICATION KIT TC267 TFT

1

KIT_XC167CI_EK_V3

KIT_XC167CI_EK_V3

IR (Infineon Technologies)

XC167CI EVAL BRD

0

KITXMC45RELAXV1TOBO1

KITXMC45RELAXV1TOBO1

IR (Infineon Technologies)

RELAX KIT XMC4500 EVAL BRD

0

KITXMC47RELAXLITEV1TOBO1

KITXMC47RELAXLITEV1TOBO1

IR (Infineon Technologies)

RELAX LITE KIT XMC4700 EVAL BRD

5

KITXMC4400DCV1TOBO1

KITXMC4400DCV1TOBO1

IR (Infineon Technologies)

EVAL KIT XMC4400

16

KITXMC1400ARDUINOTOBO1

KITXMC1400ARDUINOTOBO1

IR (Infineon Technologies)

XMC1400 CPU CARD FOR ARDUINO

18

KIT_XMC45_AE4_002

KIT_XMC45_AE4_002

IR (Infineon Technologies)

HEXAGON APPL KIT XMC4500 EVAL BD

3

KITXMC45AE1002TOBO1

KITXMC45AE1002TOBO1

IR (Infineon Technologies)

HEXAGON APPL KIT XMC4500 EVAL BD

2

KITXMC45RELAXLITEV1TOBO1

KITXMC45RELAXLITEV1TOBO1

IR (Infineon Technologies)

RELAX LITE KIT XMC4500 EVAL BRD

0

KIT_TC1798_SK

KIT_TC1798_SK

IR (Infineon Technologies)

AUDO TC1798 EVAL BRD

0

KITXMC43RELAXECATV1TOBO1

KITXMC43RELAXECATV1TOBO1

IR (Infineon Technologies)

XMC4300 RELAX ETHERCAT KIT

22

XE164F

XE164F

IR (Infineon Technologies)

DEV KIT

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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