| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
STMicroelectronics |
BOARD & REF DESIGN |
0 |
|
 |
STMicroelectronics |
BOARD EVAL BASED ON VNI2140J |
0 |
|
 |
STMicroelectronics |
EVAL SIP MICROSTEP CTLR 10A FET |
65 |
|
 |
STMicroelectronics |
36W USB CHARGER WITH SELECTABLE |
9 |
|
 |
STMicroelectronics |
EVAL BOARD FOR SCLT3-8BQ7 |
1 |
|
 |
STMicroelectronics |
DEMO KIT TOUCH LED STM8S |
1 |
|
 |
STMicroelectronics |
BOARD DEMONSTRATION TS507 |
0 |
|
 |
STMicroelectronics |
MOTOR CONTROL POWER BOARD BASED |
12 |
|
 |
STMicroelectronics |
3-PHASE INVERTER BASED ON STSPIN |
10 |
|
 |
STMicroelectronics |
1.5 KW DUAL MOTOR DRIVE WITH DIG |
4 |
|
 |
STMicroelectronics |
BOARD EVAL PROX SW SPT01-335DEE |
0 |
|
 |
STMicroelectronics |
EVAL BOARD VN751PT |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STSPIN32F0 |
2 |
|
 |
STMicroelectronics |
BOARD DEMO PROGRAMMER STPM01 |
0 |
|
 |
STMicroelectronics |
EVALUATION BOARD OF LCP154DJF |
10 |
|
 |
STMicroelectronics |
MOTOR CONTROL SOLUTION EVAL BOAR |
88 |
|
 |
STMicroelectronics |
DIGITAL WALL DIMMER EVAL BOARD |
2 |
|
 |
STMicroelectronics |
BOARD EVAL STGIPN3H60 SLLIM NANO |
5 |
|
 |
STMicroelectronics |
VN7003ALH EVALUATION BOARD |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR HDMI2C1-14HD |
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)