| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
EVAL MODULE AD8450 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR CN0270 |
3 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD |
30 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC764LP6CE |
1 |
|
 |
Analog Devices, Inc. |
LTC7862EUFD DEMO BOARD |
7 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR SSM2167 |
10 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC6603 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR HMC829 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD BATT CHARGER LTC4071 |
1 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC838LP6CE 2FO |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC3330EUH |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL DAUGHTERCARD ADP1046 |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM1168LQ |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR AD5933 |
89 |
|
 |
Analog Devices, Inc. |
EVAL BOARD BATT BACKUP LTC4110 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR HMC850LC3 |
2 |
|
 |
Analog Devices, Inc. |
ISO UPMU&DIGI 24V_5.0V_CB |
1 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC6655BHLS8-5V |
9 |
|
 |
Analog Devices, Inc. |
LTC4162 DC2038= LEAD ACID,ADJT,M |
9 |
|
 |
Analog Devices, Inc. |
DEV BOARD FOR LT4275B/LT4321 |
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)