| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC2952 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD CACRD0002 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADV7195 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LT6600-5 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LT1910 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BAORD LTC6994-2 |
17 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4226-2 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4062EDD |
0 |
|
 |
Analog Devices, Inc. |
EVAL LTC3300-1 LTC6804-2 LTC6820 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5142DBZ |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADUM4120 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION ADCMP572BCP |
7 |
|
 |
Analog Devices, Inc. |
LTC7004EMSE DEMO BOARD HIGH SIDE |
13 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADAU1978 |
7 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADG5208 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADP191 |
4 |
|
 |
Analog Devices, Inc. |
EVAL KIT HMC7044LP10BE |
14 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADM3062E LFCSP |
5 |
|
 |
Analog Devices, Inc. |
DEMO BOARD LTC2980 PWR MNGR |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR AD736 |
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)