| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Roving Networks / Microchip Technology |
DEVICE PROGRAMMING KIT |
10 |
|
 |
Roving Networks / Microchip Technology |
DEVELOPMENT BOARD FOR ATA663211 |
0 |
|
 |
Roving Networks / Microchip Technology |
STARTER KIT DSPIC33EV 5V CAN-LIN |
7 |
|
 |
Roving Networks / Microchip Technology |
KSZ9897 SWITCH EVALUATION BOARD |
0 |
|
 |
Roving Networks / Microchip Technology |
EVK FOR ATPL360 |
7 |
|
 |
Roving Networks / Microchip Technology |
KIT SUPERFLASH |
0 |
|
 |
Roving Networks / Microchip Technology |
MAXTOUCH (I2C) EVALUATION KIT |
3 |
|
 |
Roving Networks / Microchip Technology |
ATM90E2X DEMO BOARD |
1 |
|
 |
Roving Networks / Microchip Technology |
SIC GATE DRIVER EVALUATION PRODU |
1 |
|
 |
Roving Networks / Microchip Technology |
ATMXT2952T2-DEV-PCB |
0 |
|
 |
Roving Networks / Microchip Technology |
BOARD DEV LIN SBC ATA6628 |
3 |
|
 |
Roving Networks / Microchip Technology |
BOARD EVALUATION FOR KSZ8031RNL |
3 |
|
 |
Roving Networks / Microchip Technology |
MCP19111 BATTERY CHARGER EVAL BO |
1 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHT PICTAIL SD/MMC CARD |
2 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD MANAGED SWITCH |
68 |
|
 |
Roving Networks / Microchip Technology |
ATUSB-GESTIC-PCB BRIDGE BOARD |
7 |
|
 |
Roving Networks / Microchip Technology |
AGILESWITCH 1700V 62MM CORE ADAP |
9 |
|
 |
Roving Networks / Microchip Technology |
MCP2221 I2C DEMO BOARD |
7 |
|
 |
Roving Networks / Microchip Technology |
CRYPTO AUTHENTICATION SOIC XPRO |
16 |
|
 |
Roving Networks / Microchip Technology |
PIC18 POE MAIN BOARD |
3 |
|
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)