| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Future Designs, Inc. |
KIT W/RX62N LCD 4.7" TOUCH |
0 |
|
 |
Roving Networks / Microchip Technology |
EVAL BOARD FOR ATA6561 |
0 |
|
 |
Texas Instruments |
EVALUATION MODULE DP159RGZ |
0 |
|
 |
Analog Devices, Inc. |
EVAL EMC RS-485 CERTIFIED |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION RS485 |
26 |
|
 |
Texas Instruments |
BOARD EVALUATION LMH0034 |
2 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX77826 |
9 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX16128 |
110 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9910 1GSPS |
9 |
|
 |
Roving Networks / Microchip Technology |
EMC2305 & EMC1438 FAN CTRL AND T |
2 |
|
 |
Texas Instruments |
EVALUATION MODULE |
1 |
|
 |
Roving Networks / Microchip Technology |
BOARD DAUGHTER ETH PICTAIL PLUS |
3 |
|
 |
Texas Instruments |
EVALUATION BOARD FOR UCD31380 |
1 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Advanced Linear Devices, Inc. |
SUPERCAPACITOR AUTO BAL PCB 6-CH |
5 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION 100W ADP1046A |
1 |
|
 |
IR (Infineon Technologies) |
EVAL BOARD HIGH SIDE SWITCH |
1 |
|
 |
Texas Instruments |
EVAL MODULE FOR BQ25050 |
2 |
|
 |
STMicroelectronics |
BOARD DEMO STM32F103 STGIPS20C60 |
1 |
|
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)