| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
EVALUATION BOARD |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD |
33 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1177 |
0 |
|
 |
Analog Devices, Inc. |
LTC1569CS8-6 - DC ACCURATE, TUNA |
10 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADUM3223 |
2 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD I.C. |
4 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADV7612 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR LTC4070 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT3468ES5 |
3 |
|
 |
Analog Devices, Inc. |
LTC6954-1 DEMO BOARD LOW PHASE N |
0 |
|
 |
Analog Devices, Inc. |
SMALL FORM FACTOR EVALUATION BOA |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC900LP5E |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM1166TQ |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC3555 |
4 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4316 |
8 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC826LP6CE |
0 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD CSI MIPI OUTPUT |
4 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC821LP6CE |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4058EDD |
2 |
|
 |
Analog Devices, Inc. |
KIT EVAL FOR CRO29508 |
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)