| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
STMicroelectronics |
BOARD DEMO STM32F103 STGIPS20C60 |
1 |
|
 |
STMicroelectronics |
BOARD & REF DESIGN |
3 |
|
 |
STMicroelectronics |
BOARD EVAL ARM STM32F103 |
4 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STGIF10CH60TS-L |
0 |
|
 |
STMicroelectronics |
USB TYPE-C AND POWER DELI |
3 |
|
 |
STMicroelectronics |
VN7003AH EVALUATION BOARD |
0 |
|
 |
STMicroelectronics |
DEMONSTRATION BOARD FOR STGAP2SI |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STGIB15CH60TS-L |
8 |
|
 |
STMicroelectronics |
MICROPHONE COUPON BRD MP34DB02 |
8 |
|
 |
STMicroelectronics |
BOARD DEMO FRONT PANEL STLED316S |
0 |
|
 |
STMicroelectronics |
EVALSTRIVE601 DEMO BOARD FOR THE |
8 |
|
 |
STMicroelectronics |
DEMO BRD W/FULL 3.3V ACS/TRIAC |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR L6562AX |
2 |
|
 |
STMicroelectronics |
DEMONSTRATION BOARD FOR MASTERGA |
4 |
|
 |
STMicroelectronics |
EVAL BOARD FOR L6206N DIP |
1 |
|
 |
STMicroelectronics |
EVALUATION KIT |
0 |
|
 |
STMicroelectronics |
EVAL BOARD 1KW SMPS STNRG388A |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STGIPQ3H60T-H |
1 |
|
 |
STMicroelectronics |
BOARD EVAL 1-PH BASED ON STPM33 |
3 |
|
 |
STMicroelectronics |
EVAL BRD FLIGHT CONTROLLER DRONE |
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)