| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
EVAL BOARD FOR SY89206VMG |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD LAN89730-MII |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL USB3813 3PORT USB2.0 |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD LAN9220-MINI |
0 |
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Roving Networks / Microchip Technology |
BOARD DEV LIN SBC VOLT REG |
0 |
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Roving Networks / Microchip Technology |
REFERENCE DESIGN FOR AT85C51SND3 |
0 |
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Roving Networks / Microchip Technology |
DEVELOPMENT TOOL |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT449TAT |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR MIC94300CS |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT EXPERIMENTAL KS8001L |
0 |
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Roving Networks / Microchip Technology |
BOARD BLDC MOTOR CTRL ATA6833/34 |
0 |
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Roving Networks / Microchip Technology |
DEBUGGER KIT |
0 |
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Roving Networks / Microchip Technology |
2 ATSAM4SP32AMB BOARDS |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT640T |
0 |
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Roving Networks / Microchip Technology |
BOARD CUSTOMER EVAL SEC1110 |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT337T-A |
0 |
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Roving Networks / Microchip Technology |
KIT EVALUATION FOR AT73C246 |
0 |
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Roving Networks / Microchip Technology |
DEMO KIT FOR 97SC3204 |
0 |
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Roving Networks / Microchip Technology |
KIT SOFTWARE EVAL FOR T89C51CC01 |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL USB3613 3PORT USB2.0 |
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)