Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DC2181A-A

DC2181A-A

Analog Devices, Inc.

EVAL BOARD FOR LTC4120EUD -4.2

1

EVAL-ADG5462FEBZ

EVAL-ADG5462FEBZ

Analog Devices, Inc.

EVAL BOARD FOR ADG5462F

1

EVAL-CN0196-EB1Z

EVAL-CN0196-EB1Z

Analog Devices, Inc.

EVAL BOARD FOR CN0196

1

EVAL-ADV7280AEBZ

EVAL-ADV7280AEBZ

Analog Devices, Inc.

EVALUATION BOARD

1

ADP190CB-EVALZ

ADP190CB-EVALZ

Analog Devices, Inc.

BOARD EVAL ADP190

0

EVAL-ADE9000EBZ

EVAL-ADE9000EBZ

Analog Devices, Inc.

ADE9000 EVALUATION BOARD

12

DC980A/B

DC980A/B

Analog Devices, Inc.

DEMO BOARD LTC2970

3

125932-HMC674LP3E

125932-HMC674LP3E

Analog Devices, Inc.

EVAL BOARD HMC674LP3E

1

ADCLK907/PCBZ

ADCLK907/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR ADCLK907 16LFCSP

3

DC1649A-A

DC1649A-A

Analog Devices, Inc.

BOARD DEMO LTC6945

1

EVAL-ADCMP564BRQZ

EVAL-ADCMP564BRQZ

Analog Devices, Inc.

BOARD EVALUATION ADCMP564BRQZ

0

AD9549A/PCBZ

AD9549A/PCBZ

Analog Devices, Inc.

BOARD EVALUATION FOR AD9549A

0

DC2073A-D

DC2073A-D

Analog Devices, Inc.

DEMO BOARD OSC TRIPLE FIXED

2

DC1836A-B

DC1836A-B

Analog Devices, Inc.

BOARD EVAL FOR LTC2955-2

1

DC1674A-B

DC1674A-B

Analog Devices, Inc.

BOARD EVAL FOR LTC4156EUFD

1

EVAL-ADG5249FEBZ

EVAL-ADG5249FEBZ

Analog Devices, Inc.

EVAL BOARD FOR ADG5249

0

EKIT01-HMC6545LP5

EKIT01-HMC6545LP5

Analog Devices, Inc.

EVAL BOARD HMC6545LP5

1

DC1605B

DC1605B

Analog Devices, Inc.

DEMO BOARD TC2936CGN

4

EVAL-AD2428WC1BZ

EVAL-AD2428WC1BZ

Analog Devices, Inc.

A2B BUS-POWER SLAVE 4XPDM BD

0

EVAL-ADM1069LQEBZ

EVAL-ADM1069LQEBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADM1069LQ

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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