| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Roving Networks / Microchip Technology |
BOARD EVAL MOTOR CTRL W/MEGA32M1 |
0 |
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Roving Networks / Microchip Technology |
KIT DEV USB FOR PIC16F1459 |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO FOR MCP2140 |
0 |
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Roving Networks / Microchip Technology |
BOARD DEMO FOR U4089B |
0 |
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Roving Networks / Microchip Technology |
PICDEM CAN-LIN 2 FOR PIC18FXX8 |
0 |
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Roving Networks / Microchip Technology |
EVAL-BOARD MIC4605-1YM |
0 |
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Roving Networks / Microchip Technology |
EVALUATION BOARD 10BASE-T/100BAS |
0 |
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Roving Networks / Microchip Technology |
ACCESSORY DEVELOPMENT START KIT |
0 |
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Roving Networks / Microchip Technology |
BOARD EVAL FOR MIC94300MT |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR LAN9353 |
0 |
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Roving Networks / Microchip Technology |
BOARD AUDIO DEV FOR PIC32 |
0 |
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Roving Networks / Microchip Technology |
KIT MEMORY SERIAL SUPERFLASH 1 |
0 |
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Roving Networks / Microchip Technology |
CRYPTOAUTHXPLAINED |
0 |
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Roving Networks / Microchip Technology |
KIT ADAPTER FOR CRYPTO 10PIN |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT EXPERIMENTAL KS8995XA |
0 |
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Roving Networks / Microchip Technology |
EVAL KIT EXPERIMENTAL KS8841 |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD USB3803 |
0 |
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Roving Networks / Microchip Technology |
BOARD CUSTOMER EVAL USB5534B |
0 |
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Roving Networks / Microchip Technology |
EVAL BOARD FOR MXT2952T |
0 |
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Roving Networks / Microchip Technology |
KIT EVAL FOR AT73C204 UNSOLDERED |
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)