| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
STMicroelectronics |
BOARD DEMO BATTERY MON STC3105 |
0 |
|
 |
STMicroelectronics |
BOARD DEMO RTC/SENSOR STM32 |
0 |
|
 |
STMicroelectronics |
DEMO BOARD FOR STGIPS20K60 |
0 |
|
 |
STMicroelectronics |
EVAL BOARD L6585DE |
0 |
|
 |
STMicroelectronics |
BOARD MOTOR STEPPER/DC L6207 DIP |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STWLC03 |
0 |
|
 |
STMicroelectronics |
BOARD DEMO ENERGY METER STPM10 |
0 |
|
 |
STMicroelectronics |
DEMO SYSTEM BASED ON SPMD150STP |
0 |
|
 |
STMicroelectronics |
EVAL BOARD MTR DRVR STGIPN3H60A |
0 |
|
 |
STMicroelectronics |
EVAL BOARD AC/AC CHOPPER DRIVER |
0 |
|
 |
STMicroelectronics |
BOARD ELECT FISCAL CASH REGISTER |
0 |
|
 |
STMicroelectronics |
WEARABLE WIRELESS POWER SYSTEM B |
0 |
|
 |
STMicroelectronics |
BOARD EVAL BASED ON ST72264G1 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL USB STUSB03E/ST72F63B |
0 |
|
 |
STMicroelectronics |
BOARD DEMO BASED ST7260/L6924U |
0 |
|
 |
STMicroelectronics |
BOARD EVAL MEMS MIC MP34DB01 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL STP04CM05/ST1S10 |
0 |
|
 |
STMicroelectronics |
BOARD DEMO STM32 UNIV USB-UUSCI |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR MP34DT01 |
0 |
|
 |
STMicroelectronics |
WEARABLE WIRELESS POWER TRANSMIT |
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)