| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR AD9958 |
7 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD CSI MIPI OUTPUT |
1 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC828LP6CE |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD DGTL PFC CTRLR ADP105 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADGS1412 |
4 |
|
 |
Analog Devices, Inc. |
BOARD EVAL CN0323-SDPZ |
0 |
|
 |
Analog Devices, Inc. |
DEMO BOARD LTM4675EY MODULE |
2 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD CSI MIPI OUTPUT |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9838 |
7 |
|
 |
Analog Devices, Inc. |
BD DEMO FOR LTC6804-1 |
10 |
|
 |
Analog Devices, Inc. |
DEV BOARD FOR LT4416 |
6 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4098EPDC |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC723LC3C |
2 |
|
 |
Analog Devices, Inc. |
BOARD CFTL AD7685 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4310-1 |
1 |
|
 |
Analog Devices, Inc. |
LTC4266 DEMO BOARD 25.5W POE+ 4- |
0 |
|
 |
Analog Devices, Inc. |
RAPID PLATFORM - TSN EVALUATION |
13 |
|
 |
Analog Devices, Inc. |
8-PORT IO-LINK MASTER REF DESIGN |
2 |
|
 |
Analog Devices, Inc. |
EVAL CIRCUIT BOARD USB |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC3577EUFF |
2 |
|
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)