| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
STMicroelectronics |
BOARD EVAL ST7LITE49M/STLED316S |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR VNQ5E050AK |
0 |
|
 |
STMicroelectronics |
EVALUATION BOARD |
8 |
|
 |
STMicroelectronics |
BOARD EVAL FOR VND7030AJ |
1 |
|
 |
STMicroelectronics |
EVAL BOARD VNH5180A-E |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR VN5016AJ |
0 |
|
 |
STMicroelectronics |
BOARD L6562A L6569 STL13NM60N |
2 |
|
 |
STMicroelectronics |
3.6 KW TOTEM POLE PFC WITH INRUS |
0 |
|
 |
STMicroelectronics |
EVALUATION BOARD FOR THE L6498L |
0 |
|
 |
STMicroelectronics |
ELECTRONIC SPEED CONTROLLER DISC |
339 |
|
 |
STMicroelectronics |
VNH7070AS EVALUATION BOARD |
0 |
|
 |
STMicroelectronics |
BOARD DEMO FOR TD350 |
0 |
|
 |
STMicroelectronics |
100W 5V/20A ACTIVE CLAMP FORWARD |
4 |
|
 |
STMicroelectronics |
BOARD DEMO 5W VIPER17HN |
2 |
|
 |
STMicroelectronics |
EVALUATION BOARD FOR THE STSPIN3 |
12 |
|
 |
STMicroelectronics |
MOTOR CONTROL SOLUTION EVAL BOAR |
44 |
|
 |
STMicroelectronics |
BOARD GP ST7540 PLM STM32 MCU |
5 |
|
 |
STMicroelectronics |
MOTOR CONTROL POWER BOARD BASED |
9 |
|
 |
STMicroelectronics |
SRK1000 ADAPTIVE SYNCHRONOUS REC |
0 |
|
 |
STMicroelectronics |
BOARD EVAL USB POWER SWITCH |
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)