| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
EVAL KIT LAN9252 4PORT ETH EXP |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL USB83340 AUTO GRADE |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR T6818/ATA6828 |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT EXPERIMENTAL KSZ8893MQL |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO DSPICDEM.NET 2 |
0 |
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Roving Networks / Microchip Technology |
CRYPTO STARTER KIT SOT23 |
0 |
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Roving Networks / Microchip Technology |
KIT DEVELOPMENT CAN MCP2510 |
0 |
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Roving Networks / Microchip Technology |
KIT DEV TCP/IP AT89C51RD2 WEBCAM |
0 |
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Roving Networks / Microchip Technology |
KIT DEV FOR AT90CAN128 MCU |
0 |
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Roving Networks / Microchip Technology |
LLC PICTAIL PLUS DAUGHTR BRD |
0 |
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Roving Networks / Microchip Technology |
BOARD RS232 GATEWAY TO ETHERNET |
0 |
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Roving Networks / Microchip Technology |
BRD DAUGHT GRAPHIC PICTAIL PLUS |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO PICDEM CAN-LIN 3 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVALUATION FOR KSZ8863FLL |
0 |
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Roving Networks / Microchip Technology |
DAUGHTER BOARD PIC18F87J72 |
0 |
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Roving Networks / Microchip Technology |
KIT DEV TOUCH SCREEN CONTROLLER |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT UTC2000 USB TYPCE C |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR T6819/ATA6829 |
0 |
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Roving Networks / Microchip Technology |
KIT EVAL MODULE RS232 TO TCP/IP |
0 |
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Roving Networks / Microchip Technology |
DAUGHTER CARD SMARTFUSION MPM |
0 |
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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)