| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
SC70,SOT23,DIP BARE BRD 5PAK |
7 |
|
 |
Roving Networks / Microchip Technology |
EVALUATION KIT WITH HSBB & SPI C |
1 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVAL BATT CHARGER MCP73213 |
4 |
|
 |
Roving Networks / Microchip Technology |
BOARD GRAPH LCD CNTLR PICTAIL |
2 |
|
 |
Roving Networks / Microchip Technology |
SIC GATE DRIVER EVALUATION PRODU |
9 |
|
 |
Roving Networks / Microchip Technology |
MCP2200 USB TO UART WITH ISOLATI |
23 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD FOR LAN9354 |
1 |
|
 |
Roving Networks / Microchip Technology |
HV56264 QUAD HIGH VOLTAGE EVB |
3 |
|
 |
Roving Networks / Microchip Technology |
ATMXT2912TDAT-SPI-PCB DEV PCB |
6 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV LCD EXPLORER |
2 |
|
 |
Roving Networks / Microchip Technology |
EVALUATION BOARD FOR MCP73871 |
3 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV LIGHTING COMM MAIN |
1 |
|
 |
Roving Networks / Microchip Technology |
KIT BATT MGMT FOR ATMEGA32HVB |
1 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER PICTAIL SPEECH |
3 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD MIC1344YFT |
1 |
|
 |
Roving Networks / Microchip Technology |
KIT EVALUATION MCP2210 |
3 |
|
 |
Roving Networks / Microchip Technology |
REFERENCE DESIGN FOR MCP3905 |
3 |
|
 |
Roving Networks / Microchip Technology |
LOW VOLTAGE PFC DEVELOPMENT KIT |
0 |
|
 |
Roving Networks / Microchip Technology |
BOARD 4.3" LCD TOUCH SCREEN |
12 |
|
 |
Roving Networks / Microchip Technology |
MCP19117 FLYBACK EVALUATION BOAR |
1 |
|
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)