| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
ADC DATA CAPTURE CARD PIPELINE |
3 |
|
 |
Roving Networks / Microchip Technology |
MEC1418 MECC BOARD |
0 |
|
 |
Roving Networks / Microchip Technology |
GRAPHICS DISPLAY BARE BOARD 3PAK |
2 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL FOR MCP73833 |
7 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO FOR PIC16F/PIC18F |
6 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO FOR MCP2515 |
4 |
|
 |
Roving Networks / Microchip Technology |
ATM90E32AS DEMO BOARD |
4 |
|
 |
Roving Networks / Microchip Technology |
POE EVB |
3 |
|
 |
Roving Networks / Microchip Technology |
KIT EVAL CRYPTO AUTHENTIC ECC508 |
34 |
|
 |
Roving Networks / Microchip Technology |
BOARD MOTOR DVR MCP8025 TQFP |
1 |
|
 |
Roving Networks / Microchip Technology |
IMAGING AND VIDEO FMC AND CAMERA |
10 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER DIGIPOT MCP4XXX |
0 |
|
 |
Roving Networks / Microchip Technology |
CARD DAUGHTER AUDIO PICTAIL PLUS |
1 |
|
 |
Roving Networks / Microchip Technology |
USB CHARGER WITH HCA REF DESIGN |
0 |
|
 |
Roving Networks / Microchip Technology |
USB CONTROLLER HUB EVAL BOARD |
1 |
|
 |
Roving Networks / Microchip Technology |
DEVELOPMENT PCB |
1 |
|
 |
Roving Networks / Microchip Technology |
UCS1003-1 EVALUATION BOARD |
1 |
|
 |
Roving Networks / Microchip Technology |
POE PD MODULE |
6 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEMO USB TO DALI INTERFACE |
3 |
|
 |
Roving Networks / Microchip Technology |
DEV TOOL ATA663254 |
5 |
|
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)