| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
EVALUATION BOARD I.C. |
33 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADCMP600 SOT23-5 |
3 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD |
3 |
|
 |
Analog Devices, Inc. |
DEMO BOARD LTC2942 |
33 |
|
 |
Analog Devices, Inc. |
ADN4656 SOICW EVALUATION BOARD |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL ADM2687 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4020EUHF |
28 |
|
 |
Analog Devices, Inc. |
CN0393 EVAL BOARD ISOLATED DAS |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4089EDJC |
1 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD |
4 |
|
 |
Analog Devices, Inc. |
BOARD EVAL ACTIVE BIAS HMC920 |
10 |
|
 |
Analog Devices, Inc. |
EVALUATION KIT TRXR LTM2882-3 |
1 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC838LP6CE FO/2 & FO |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5233 |
6 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1062TQ |
0 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC783LP6CE |
0 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD I.C. |
2 |
|
 |
Analog Devices, Inc. |
ADPD1081 OPTICAL PPG EVAL BRD |
22 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT1768CGN |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADV7842-7511P |
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)