| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
STMicroelectronics |
BOARD EVAL BASED ON ST72F651 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR STC3115 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL MOTOR CONTROL STM32 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR MP45DT02 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL BASED ON L6574 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL BALLAST L6382D5 |
0 |
|
 |
STMicroelectronics |
DEMO BOARD BASED ON VNI2140J |
0 |
|
 |
STMicroelectronics |
BOARD EVAL LIGHTING L6569 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL ST7LITE1B,STP5NK60Z |
0 |
|
 |
STMicroelectronics |
EVAL BOARD WITH LCD STM32F103 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL DGTL BATT CHGR DESIGN |
0 |
|
 |
STMicroelectronics |
BOARD EVAL MEMS MIC MP45DT02 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR SPV1040 |
0 |
|
 |
STMicroelectronics |
BOARD DEMO FUEL GAUGE STM32 |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR VN751PT |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR L6208 SERIES |
0 |
|
 |
STMicroelectronics |
BOARD DEMO EXPANDER STMPE2403 |
0 |
|
 |
STMicroelectronics |
MICROPHONE COUPON BRD MP23AB02B |
0 |
|
 |
STMicroelectronics |
BOARD DEMO MOTOR CTRL VIPER16L |
0 |
|
 |
STMicroelectronics |
BOARD EVAL BASED ON TSH120 |
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)