| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Renesas Electronics America |
ZSSC3154 MASS CALIBR. REF. BOARD |
0 |
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Renesas Electronics America |
5L1503 SERIES EVALUATION BOARD |
0 |
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Renesas Electronics America |
EVAL VERSACLOCK 5 PROGRAM CLK |
0 |
|
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Renesas Electronics America |
VERSACLOCK 3S 5P25021 EVAL BOARD |
0 |
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Renesas Electronics America |
EVAL VERSACLOCK 5 PROGRAM CLK |
0 |
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Renesas Electronics America |
EVAL KIT FOR P9038 |
0 |
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Renesas Electronics America |
KIT DEMO 78K0 IB2 NEC TOOLS LED |
0 |
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Renesas Electronics America |
EVAL VERSACLOCK 5 PROGRAM CLK |
0 |
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Renesas Electronics America |
MOTOR CONTROL KIT FOR RL78/G14 |
0 |
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Renesas Electronics America |
15 WATT WIRELESS POWER RECEIVER |
0 |
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Renesas Electronics America |
EMBEDDED GUI KIT FOR THE RZA1H F |
0 |
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Renesas Electronics America |
DEV KIT FREQ TRANSLATOR |
0 |
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Renesas Electronics America |
BOARD EVAL FOR 4-SERIES |
0 |
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Renesas Electronics America |
EVAL BOARD 5P49V5943 VERSACLOCK5 |
0 |
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Renesas Electronics America |
EVAL BOARD FOR 5P49V6967 |
0 |
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Renesas Electronics America |
EVAL KIT FOR P9025 |
0 |
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Renesas Electronics America |
EVAL BOARD FOR 9FGL0841 |
0 |
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Renesas Electronics America |
EVAL BOARD FOR P9027LP P9235A |
0 |
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Renesas Electronics America |
EVAL VERSACLOCK 5 PROGRAM CLK |
0 |
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Renesas Electronics America |
KIT STARTER H8S2456 SHARPE DSPLY |
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)