| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL 4-20MA TRANSMITTER |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD ENERGY METER ADE7978 |
5 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADA8282 |
0 |
|
 |
Analog Devices, Inc. |
EVALUATION KIT TRXR LTM2881-3 |
4 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC4358 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2487 |
1 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC4355 |
10 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC911LC4B |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC3577EUFF |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC1563-3CGN |
6 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC3577EUFF |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADG5404 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL LTC4227CUFD-3 |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADUM144X 16QSOP |
1 |
|
 |
Analog Devices, Inc. |
IC CLOCK GEN 2.8GHZ VCO 64-LFCSP |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADF41020 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2481 |
1 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTC4366HTS8-2 |
21 |
|
 |
Analog Devices, Inc. |
ADUM4137 EVAL BOARD |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL HMC677LP5E |
0 |
|
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.
| Type | Functional Features | Application Examples |
|---|---|---|
| Microcontroller Development Boards | Embedded CPUs, GPIOs, integrated peripherals | IoT devices, robotics |
| FPGA Evaluation Boards | Reconfigurable logic, high-speed interfaces | Communication systems, AI accelerators |
| Sensor Expansion Kits | Multi-sensor integration (temperature, motion, etc.) | Smart agriculture, environmental monitoring |
| Wireless Communication Modules | Bluetooth/Wi-Fi/LoRa protocols, antenna interfaces | Connected 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.
| Parameter | Description |
|---|---|
| Processor Performance (MHz/GHz) | Determines computational capability |
| Memory Capacity (RAM/Flash) | Affects program complexity and data storage |
| Interface Types | Dictates 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
| Manufacturer | Representative Products |
|---|---|
| STMicroelectronics | STM32 Nucleo Series, SensorTile Kit |
| Intel | Intel Edison, Movidius Neural Compute Stick |
| Xilinx | Zynq UltraScale+ MPSoC Evaluation Kit |
| Arduino | Arduino 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)