| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
WLP EV KIT MODEL GAUGE M5 1S I2C |
9 |
|
|
Maxim Integrated |
SMART VALVE REFERENCE BOARD |
42 |
|
|
Maxim Integrated |
EVAL KIT MAX14838 IC OUTPUT DRVR |
8 |
|
|
Maxim Integrated |
EVALUATION KIT FOR AUTOMOTIVE DU |
10 |
|
|
Maxim Integrated |
EVAL KIT MAX5944 (DUAL FIREWIRE |
6 |
|
|
Maxim Integrated |
EVKIT FOR HIGH VOLTAGE BACK TO B |
8 |
|
|
Maxim Integrated |
EVKIT FOR MAX77975 19VIN, 3.5AOU |
234 |
|
|
Maxim Integrated |
KIT EVALUATION FOR MAX745 |
7 |
|
|
Maxim Integrated |
EVAL MAX20331 OVERVOLT PROT |
211 |
|
|
Maxim Integrated |
EVAL KIT MAX17085B (INTEGRATED C |
23 |
|
|
Maxim Integrated |
EVAL KIT MAX7314 (18-PORT GPIO W |
10 |
|
|
Maxim Integrated |
EVAL VREF SHUNT 1.225 MAX6279 |
331 |
|
|
Maxim Integrated |
EVAL KIT DS2711 (LOOSE CELL NIMH |
6 |
|
|
Maxim Integrated |
EVALUATION KIT FOR VGA 1:2 SWITC |
12 |
|
|
Maxim Integrated |
EVAL KIT MAX16913 (REMOTE ANTENN |
6 |
|
|
Maxim Integrated |
KIT EVALUATION MAX20751 |
0 |
|
|
Maxim Integrated |
EVKIT FOR 36V BRUSHED DC MOTOR D |
312 |
|
|
Maxim Integrated |
EVAL BOARD FOR MAX77696 |
0 |
|
|
Maxim Integrated |
EV KIT FOR OTP PROGRAMMABLE BINA |
311 |
|
|
Maxim Integrated |
250MA TO 2.5A ADJUSTABLE CURRENT |
5 |
|
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)