Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MIKROE-1429

MIKROE-1429

MikroElektronika

BOARD BREAKOUT CONNECTEVE

14

MIKROE-124

MIKROE-124

MikroElektronika

BOARD SERIAL ETHERNET

0

MIKROE-153

MIKROE-153

MikroElektronika

BOARD ADAPTER PAR GLCD 240X128

0

MIKROE-222

MIKROE-222

MikroElektronika

BOARD MAX232

164

MIKROE-506

MIKROE-506

MikroElektronika

BOARD PROTO AUDIO CODEC

58

MIKROE-233

MIKROE-233

MikroElektronika

BOARD MIKRODRIVE ULN2803AN

5

MIKROE-154

MIKROE-154

MikroElektronika

BOARD ADAPTER SER GLCD 128X64

5

MIKROE-67

MIKROE-67

MikroElektronika

BOARD CAN-1 DEV TOOL FOR MCU

15

MIKROE-151

MIKROE-151

MikroElektronika

BOARD ADAPTER SER LCD 2X16-4X20

0

MIKROE-70

MIKROE-70

MikroElektronika

BOARD IRDA ADD-ON W/MCP2155

0

MIKROE-602

MIKROE-602

MikroElektronika

BOARD MAX3232

606

MIKROE-329

MIKROE-329

MikroElektronika

BOARD RTC2 PROTO

0

MIKROE-549

MIKROE-549

MikroElektronika

BOARD USB UART 2

4

MIKROE-428

MIKROE-428

MikroElektronika

BOARD PROTO SERIAL RAM 23K640

0

MIKROE-545

MIKROE-545

MikroElektronika

BOARD DEV MMC READY MMC/SD

0

MIKROE-1198

MIKROE-1198

MikroElektronika

BOARD SMART USB LI-PO CHARGER

1

MIKROE-325

MIKROE-325

MikroElektronika

BOARD IRDA PROTO

2

MIKROE-66

MIKROE-66

MikroElektronika

BOARD RS485 DEVELOPMENT TOOL

5

MIKROE-87

MIKROE-87

MikroElektronika

BOARD RTC RTC/CAL PCF8583

0

MIKROE-480

MIKROE-480

MikroElektronika

BOARD PROTO SERIAL FLASH

0

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

RFQ BOM Call Skype Email
Top