Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
101-1218

101-1218

Digi

KIT APPLCTN RABBITCORE RCM4010

4

DC-SP-01-GN-NR

DC-SP-01-GN-NR

Digi

KIT DEV SP ADPT NO RAVEN

0

101-0963

101-0963

Digi

KIT ETHERNET RCM3720 US

0

XEB-AW140-DK

XEB-AW140-DK

Digi

HIGH SECURITY CRYPTOGRAPHIC MOD

0

101-0897

101-0897

Digi

KIT SECURE EMBEDDED WEB

0

DC-ME-KT

DC-ME-KT

Digi

KIT INTEGRATION ME S MODELS

0

XEB-AW140

XEB-AW140

Digi

HIGH SECURITY CRYPTOGRAPHIC MOD

0

101-0689

101-0689

Digi

KIT SERIAL TO ETHERNET

0

DG-ACC-POE

DG-ACC-POE

Digi

KIT POE APPLICATION

0

CC-ACC-MMK-2443

CC-ACC-MMK-2443

Digi

KIT JUMPSTART MULTIMEDIA 9M 2443

0

101-0964

101-0964

Digi

KIT ETHERNET INT'L RCM3720

0

FS-3023

FS-3023

Digi

MINI CARD X-MATE ZIGBEE PCIE

0

DG-ACC-FIM

DG-ACC-FIM

Digi

KIT FIM APPLICATION

0

101-0690

101-0690

Digi

KIT SERIAL-ETHERNET APPLICATION

0

FS-658

FS-658

Digi

MODNET50 2FL/16MB/512KB SRAM

0

FS-645

FS-645

Digi

MODULE

0

CC-ACC-USB-D

CC-ACC-USB-D

Digi

KIT USB DEVICE APPLICATION

0

20-101-0183

20-101-0183

Digi

BOARD EXP XP8120

0

101-0400

101-0400

Digi

KIT DEV RABBITCORE TCP/IP 2000

0

CC-ACC-ADD-2443

CC-ACC-ADD-2443

Digi

BRD AUDIO ADD-0N CC 2443 KIT

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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