| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
EVAL BOARD 4-20MA TXRX |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4274A-4 |
2 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LT3572EUF |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1065TQ |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADF4360-9 |
10 |
|
 |
Analog Devices, Inc. |
ISOLATED RS-485 REPEATER EVAL BO |
1 |
|
 |
Analog Devices, Inc. |
BOARD CFTL AD5662 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC830LP6GE |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT3485EDD |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT1336 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4266A-2 |
1 |
|
 |
Analog Devices, Inc. |
LTC4091 DEMO BOARD 36V BATTERY C |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR AD5245 |
0 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC1799 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4252C-1 |
4 |
|
 |
Analog Devices, Inc. |
EVAL BOARD ADF5901 DOWNCONVERTER |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION ADCMP567BCP |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LT4295/LT4321 |
13 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTM2883 |
2 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR 12V LTC4219-5 |
1 |
|
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)