| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
STMicroelectronics |
BOARD EVAL FOR VN5E050J |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR STGIB10CH60TS-L |
2 |
|
 |
STMicroelectronics |
COMPACT 27W USB TYPE-C POWER DEL |
8 |
|
 |
STMicroelectronics |
BOARD EVAL SPMD150 |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR L6207Q |
8 |
|
 |
STMicroelectronics |
DEMONSTRATION BOARD FOR L6494L G |
39 |
|
 |
STMicroelectronics |
EVAL BOARD VNQ7050AJ |
1 |
|
 |
STMicroelectronics |
FAST AND EASY MIGRATION FROM USB |
61 |
|
 |
STMicroelectronics |
BATTERY MONITORING FOR GAS GAUGE |
7 |
|
 |
STMicroelectronics |
BOARD ENERGY HARVST BATT SPV1050 |
0 |
|
 |
STMicroelectronics |
BOARD DEMO LV STM32F303 L6230 |
1 |
|
 |
STMicroelectronics |
VN7004CH EVALUATION BOARD |
3 |
|
 |
STMicroelectronics |
BOARD EVAL FOR L6370Q |
0 |
|
 |
STMicroelectronics |
STAUDIOHUB USB INTERFACE BOARD |
0 |
|
 |
STMicroelectronics |
BOARD ENERGY HARVEST SPV1050 |
3 |
|
 |
STMicroelectronics |
EVALUATION BOARD FOR L9963 - (L9 |
8 |
|
 |
STMicroelectronics |
EVAL BOARD VN7016AJ |
0 |
|
 |
STMicroelectronics |
BOARD EVAL FOR STPM10 |
0 |
|
 |
STMicroelectronics |
EVAL POE PD CONV 5V 4A PM8803 |
1 |
|
 |
STMicroelectronics |
MINI DRONE KIT WITH FLIGHT CONTR |
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)