| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADCMP600 SC70-5 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1171 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADF4355-2 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR AD9516-1 |
0 |
|
 |
Analog Devices, Inc. |
EB 26.5GHZ PLL WITH ULTRA LOW FO |
22 |
|
 |
Analog Devices, Inc. |
BD DEMO LTC6803-2 REQ. DC590B |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTM2886-5I |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD 28V 5A SURGE SUP |
0 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD I.C. |
7 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5243 |
1 |
|
 |
Analog Devices, Inc. |
DEV BOARD FOR LT4275A/LT4321 |
16 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTC4150CMS |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADV8003 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL CN0276-SDPZ |
3 |
|
 |
Analog Devices, Inc. |
EVAL BOARD |
1 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTC1535CSW |
1 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC701LP6CE |
0 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4380IDD-1 |
2 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTC2871 |
3 |
|
 |
Analog Devices, Inc. |
EVAL SYSTEM FOR CN0271 |
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)