| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Kinetic Technologies |
EVB HDMI 1.4 TO DISPLAYPORT 1.2 |
4 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Atmel (Microchip Technology) |
BOARD EVAL MOTOR CTRL W/TINYX61 |
0 |
|
 |
THine Solutions |
EVAL BOARD KIT THC63LVDF84C |
0 |
|
 |
Texas Instruments |
EVALUATION MODULE AFE4490 |
7 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR HMC723LP3E |
5 |
|
 |
Lattice Semiconductor |
BOARD BREAKOUT POWR1014A |
0 |
|
 |
Texas Instruments |
EVAL MODULE FOR TSC2017 |
2 |
|
 |
Maxim Integrated |
EVAL MAX5995 EVAL POE INTERFACE |
521 |
|
 |
STMicroelectronics |
EVAL BD STHV800 ULTRASOUND PULSE |
7 |
|
 |
Broadcom |
KIT EVAL FIBER OPTICS 5MBD |
70 |
|
 |
Texas Instruments |
EVAL BOARD FOR DRV10970 BLDC MTR |
15 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADV739XFEZ |
9 |
|
 |
STMicroelectronics |
EVAL BOARD FOR THE L6230Q |
0 |
|
 |
Advanced Linear Devices, Inc. |
SUPERCAPACITOR AUTO BAL PCB 2-CH |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC744LC3 |
0 |
|
 |
Texas Instruments |
KIT BASIC STARTER MULTI-CAL SYST |
2 |
|
 |
Texas Instruments |
KIT PERFORMANCE DEMO ADS131E08 |
2 |
|
 |
Adafruit |
LI-ION LI-POLYMER CHARGER BOARD |
113 |
|
 |
TDK InvenSense |
EVAL BOARD FOR THE ICM-40740 ANA |
41 |
|
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)