| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
KIT STARTER CRYPTO W/2 SOIC SKTS |
0 |
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Roving Networks / Microchip Technology |
DEMO BOARD |
0 |
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Roving Networks / Microchip Technology |
VSC5634 EVAL BOARD |
0 |
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Roving Networks / Microchip Technology |
EVK FOR G3 PAN COORDINATOR |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT1189TAT |
0 |
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Roving Networks / Microchip Technology |
SMART BATTERY DEVELOPMENT KIT |
0 |
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Roving Networks / Microchip Technology |
BOARD EVALUATION KSZ8841-16MVL |
0 |
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Roving Networks / Microchip Technology |
ATM90E36A DEMO BOARD |
0 |
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Roving Networks / Microchip Technology |
ATPL00B DK 4 BOARDS |
0 |
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Roving Networks / Microchip Technology |
BOARD EVALUATION FOR USB2504 |
0 |
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Roving Networks / Microchip Technology |
DEVELOPMENT BOARD |
0 |
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Roving Networks / Microchip Technology |
KIT EVAL FOR AT73C202 UNSOLDERED |
0 |
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Roving Networks / Microchip Technology |
KIT DEV WITH AT43DK380-PDC2 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL SY87701 EXPERIMENT |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT EXPERIMENTAL KS8993F |
0 |
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Roving Networks / Microchip Technology |
VSC5607 EVAL BOARD |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL UFX7000 USB3 |
0 |
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Roving Networks / Microchip Technology |
KIT DESIGN FOR ATA6870 |
0 |
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Roving Networks / Microchip Technology |
KIT USB HUB DEVELOPMENT AT43301 |
0 |
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Roving Networks / Microchip Technology |
KIT REF DESIGN FOR AT89C51SND1 |
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)