| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
BOARD EVALUATION FOR SI5013 |
0 |
|
|
Silicon Labs |
BOARD EVAL W/DISCRETE INTERFACE |
0 |
|
|
Silicon Labs |
BOARD EVALUATION SI2153 |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2401 + SI3008 |
0 |
|
|
Silicon Labs |
BOARD EVAL SI3056/SI3010 SSI |
0 |
|
|
Silicon Labs |
BOARD EVAL W/SI3201 INTERFACE |
0 |
|
|
Silicon Labs |
BOARD EVAL W/DISCRETE INTERFACE |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2493 + SI3008 16PIN |
0 |
|
|
Silicon Labs |
BOARD EVAL W/SI3200 INTERFACE |
0 |
|
|
Silicon Labs |
BOARD EVAL FXS SI32171 |
0 |
|
|
Silicon Labs |
DAUGHTER CARD 2FXS SI3217X |
0 |
|
|
Silicon Labs |
SOFTWARE DEVELOPMENT BOARD |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2415 + SI3008 16PIN |
0 |
|
|
Silicon Labs |
BOARD EVAL SI3056/SI3008 SSI |
0 |
|
|
Silicon Labs |
BOARD EVAL FXS SI32176 |
0 |
|
|
Silicon Labs |
DAUGHTER CARD W/DISCRETE INTRFC |
0 |
|
|
Silicon Labs |
OSCILLATORS |
0 |
|
|
Silicon Labs |
DAUGHTERCARD W/SI3201 INTERFACE |
0 |
|
|
Silicon Labs |
BOARD EVAL W/SI3201 INTERFACE |
0 |
|
|
Silicon Labs |
DAUGHTERCARD DISCRETE INTERFACE |
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)