Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MOD-USB-RS232

MOD-USB-RS232

Olimex

RS232 TO USB CONVERTER MODULE

0

PIC-WEB

PIC-WEB

Olimex

MICROCHIP PIC18F67J60 ETHERNET

57

MOD-IO

MOD-IO

Olimex

ATMEL ATMEGA16 RELAY MODULE

4

MOD-ENC28J60

MOD-ENC28J60

Olimex

MICROCHIP ETHERNET UEXT MODULE

0

BB-CH340T

BB-CH340T

Olimex

USB TO SERIAL CONVERTER WITH CH3

0

PIC-MAXI-WEB

PIC-MAXI-WEB

Olimex

PIC18F97J60 ETHERNET DEV BOARD

3

MOD-IO2

MOD-IO2

Olimex

MODULE GPIO AND RELAY UEXT

0

PIC-WEB-BOX

PIC-WEB-BOX

Olimex

ETH BOARD MICROCHIP PIC18F67J60

0

ENC28J60-H

ENC28J60-H

Olimex

MICROCHIP ETHERNET SPI MODULE

129

AVR-IO-M16

AVR-IO-M16

Olimex

ATMEL AVR MAINS RELAY CNTRL BRD

26

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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