| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVALUATION KIT FOR MAX8845Z |
0 |
|
 |
Maxim Integrated |
BOARD DEMO 71M6531F |
0 |
|
 |
Maxim Integrated |
KIT EVALUATION FOR MAX4090 |
0 |
|
 |
Maxim Integrated |
EVAL BOARD 78M6631 |
0 |
|
 |
Maxim Integrated |
KIT DESIGN FOR DS21Q348 |
0 |
|
 |
Maxim Integrated |
KIT DESIGN FOR DS33Z44 |
0 |
|
 |
Maxim Integrated |
BOARD DEMO 73S8009R 28-SOIC |
0 |
|
 |
Maxim Integrated |
EVAL KIT MAX9880A |
0 |
|
 |
Maxim Integrated |
BOARD DEMO 73S8024C 28-SOIC |
0 |
|
 |
Maxim Integrated |
BOARD DEMO 71M6533 |
0 |
|
 |
Maxim Integrated |
REFERENCE DESIGN FREMONT |
0 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX31963 |
0 |
|
 |
Maxim Integrated |
RD ENERGY HARVESTING |
0 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX7456 |
0 |
|
 |
Maxim Integrated |
DEMO BOARD 71M6543F-DB-CT |
0 |
|
 |
Maxim Integrated |
BOARD EVAL 78M6612 AC-PMON |
0 |
|
 |
Maxim Integrated |
EVALUATION KIT |
0 |
|
|
Maxim Integrated |
KIT DEMO FOR DS33X11+ |
0 |
|
|
Maxim Integrated |
DEV BOARD FOR MAX35103 |
0 |
|
|
Maxim Integrated |
KIT DESIGN FOR DS26524 |
0 |
|
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)