| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Cirrus Logic |
EVAL BOARD AC'97 CODEC W/SRC |
0 |
|
|
Cirrus Logic |
REFERENCE DESIGN FOR POWER METER |
0 |
|
|
Cirrus Logic |
BOARD EVAL & SOFTWARE CS5463 ADC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8903 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL BD USB DC TO DSP 48K 49K |
0 |
|
|
Cirrus Logic |
BOARD EVAL FOR 42LDB1 CODEC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8753 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8232 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL BOARD EULER |
0 |
|
|
Cirrus Logic |
KIT - WM8321 KIT CDB6246 MB DC |
0 |
|
|
Cirrus Logic |
REFERENCE DESIGN WITH 90W LLC |
0 |
|
|
Cirrus Logic |
KIT - WM8711BL KIT CDB6061 MB DC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8993 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
BOARD EVAL FOR CS8952 |
0 |
|
|
Cirrus Logic |
EVAL BOARD FOR CS5461 |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8768 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8711L MINI EVAL BOAR |
0 |
|
|
Cirrus Logic |
KIT-WM5102 KIT(SCOTTSDL) LOCHNAG |
0 |
|
|
Cirrus Logic |
KIT - WM8281 KIT (LARGO) LOCHNAG |
0 |
|
|
Cirrus Logic |
KIT - WM8768 KIT CDB6118 MB DC |
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)