| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC2945 |
21 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTC4151 |
3 |
|
 |
Analog Devices, Inc. |
EVAL BOARD BATT CHARGER LT3652 |
5 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LT4295/LT4321 |
37 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADCLK846 |
4 |
|
 |
Analog Devices, Inc. |
GLEANERGY MULTI-SOURCE E H DEMO |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADV7611 |
3 |
|
 |
Analog Devices, Inc. |
ADUM5411 ISO BRD PWR AND 4CH DAT |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD LTC4012 BATT CHRGR |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4059EDC |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM1184 |
4 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADF4158 |
9 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4123EDC |
8 |
|
 |
Analog Devices, Inc. |
BOARD EVAL 14BIT 1.8V 48LFCSP |
0 |
|
 |
Analog Devices, Inc. |
LTC4162 DC2038= LIFEPO4,ADJUSTAB |
19 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT3420EMS |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4000 |
3 |
|
 |
Analog Devices, Inc. |
EVALUATION KIT LOW EM1 LTM2882-5 |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD LTC4274 IEEE802.3 PSE |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADUM4121 |
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)