| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
STMicroelectronics |
DEMONSTRATION BOARD FOR STGAP2HS |
10 |
|
 |
STMicroelectronics |
EVAL BOARD FOR L4981 |
0 |
|
 |
STMicroelectronics |
COMPACT EVALUATION BOARD FOR STS |
63 |
|
 |
STMicroelectronics |
BOARD EVAL FOR VND5T100AJ |
0 |
|
 |
STMicroelectronics |
VN7007ALH EVALUATION BOARD |
4 |
|
 |
STMicroelectronics |
BOARD EVAL BASED ON VNI2140J |
0 |
|
 |
STMicroelectronics |
BOARD EVAL LOAD SHARE FOR L6615 |
0 |
|
 |
STMicroelectronics |
SRK1001 ADAPTIVE SYNCHRONOUS REC |
4 |
|
 |
STMicroelectronics |
EVAL BOARD FOR L6563 (100W) |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR MP34DT04 |
3 |
|
 |
STMicroelectronics |
BOARD EVAL SMART CARD |
1 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STM8AF528 |
2 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STNRG388A |
0 |
|
 |
STMicroelectronics |
FAST AND EASY MIGRATION FROM DC |
122 |
|
 |
STMicroelectronics |
BOARD EVAL FOR L6562A |
1 |
|
 |
STMicroelectronics |
BOARD EVAL VFD STFPC320 |
0 |
|
 |
STMicroelectronics |
COMPACT REFERENCE DESIGN KIT FOR |
35 |
|
 |
STMicroelectronics |
BOARD EVAL MIC PREAMP FOR TS472 |
2 |
|
 |
STMicroelectronics |
EVAL BOARD FOR L6227PD SOIC |
0 |
|
 |
STMicroelectronics |
EVALUATION BOARD BASED ON THE ST |
13 |
|
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)