| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
EVAL BOARD DGTL ISO 4CH ADUM3481 |
2 |
|
 |
Analog Devices, Inc. |
ADP5091-1 EVALUATION BOARD |
22 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9911 |
4 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LT3750EMS |
8 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LT6600-20 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4267 |
2 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC829LP6GE |
1 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC3589EUJ |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9520-5 |
3 |
|
 |
Analog Devices, Inc. |
BD DEMO LTC6803-4 REQ. DC590B |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADV7180 LFCSP |
1 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC820LP6CE FO/2 & FO |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADUM15XN ADUM16XN |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL ACTIVE BIAS HMC980 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC2924 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1066TQ |
1 |
|
 |
Analog Devices, Inc. |
LTC4124 HIGH POWER 50MA DEMO BOA |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADV7181D |
7 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADV7613 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1063TQ |
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)