Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MIKROE-68

MIKROE-68

MikroElektronika

BOARD CAN DEV TOOL W/SPI

2

MIKROE-261

MIKROE-261

MikroElektronika

BOARD TOUCHPANEL CONTROLLER

0

MIKROE-333

MIKROE-333

MikroElektronika

BOARD MICROPHONE AMP

10

MIKROE-200

MIKROE-200

MikroElektronika

BOARD SMARTMP3 ADD-ON

1

MIKROE-3

MIKROE-3

MikroElektronika

BOARD MEMORY MMC/SD CARD SLOT

1

MIKROE-317

MIKROE-317

MikroElektronika

BOARD TOUCHPANEL CTRLR PROTO

0

MIKROE-198

MIKROE-198

MikroElektronika

BOARD DIGITAL POTENTIOMETER

1

MIKROE-259

MIKROE-259

MikroElektronika

BOARD TRANSLATOR 5V-3.3V

2

MIKROE-150

MIKROE-150

MikroElektronika

BOARD ADAPTER SER GLCD 240X64

0

MIKROE-483

MIKROE-483

MikroElektronika

BOARD USB UART FT232R

84

MIKROE-1439

MIKROE-1439

MikroElektronika

BOARD BREAKOUT MIKROTFT

0

MIKROE-155

MIKROE-155

MikroElektronika

BOARD ADAPTER SER GLCD 240X128

0

MIKROE-82

MIKROE-82

MikroElektronika

IRDA2 BOARD

0

MIKROE-603

MIKROE-603

MikroElektronika

BOARD RELAY 4

117

MIKROE-495

MIKROE-495

MikroElektronika

BOARD DISPLAY PROTO TFT

10

MIKROE-88

MIKROE-88

MikroElektronika

BOARD EEPROM W/24C08WP

2

MIKROE-604

MIKROE-604

MikroElektronika

BOARD SERIAL ETHERNET 2

0

MIKROE-334

MIKROE-334

MikroElektronika

BOARD BIPOLAR STEPPER MOTOR DVR

3

MIKROE-479

MIKROE-479

MikroElektronika

BOARD SERIAL FLASH EN25F80

0

MIKROE-162

MIKROE-162

MikroElektronika

BOARD ADAPTER PAR GLCD 240X64

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)

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