| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
IR (Infineon Technologies) |
DEMO BOARD FOR BTN8962 |
12 |
|
 |
Silicon Labs |
CP2102N USB TO UART EVALUATION K |
32 |
|
 |
IR (Infineon Technologies) |
IR1167 IR11662 IR11672 DAUGHTER |
2 |
|
 |
Silicon Labs |
BOARD EVAL SI2401 UART INTERFACE |
0 |
|
 |
STMicroelectronics |
EVAL BOARD FOR IPS161H |
2 |
|
 |
STMicroelectronics |
BOARD EVAL FOR VNQ5E160AK |
0 |
|
 |
Roving Networks / Microchip Technology |
DEVICE HARDWARE KIT - SP6LI |
5 |
|
 |
Intersil (Renesas Electronics America) |
DEMO BOARD FOR HIP4081A |
11 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS22968 |
5 |
|
 |
Analog Devices, Inc. |
A2B MASTER/LOCAL-POWER SLAVE BD |
108 |
|
 |
Texas Instruments |
TUSB214EVM |
0 |
|
 |
APS |
SCR (THYRISTOR) 3-PHASE CONTROL |
50 |
|
 |
Texas Instruments |
EVALUATION MODULE AFE4400 |
3 |
|
 |
ScioSense |
EVAL KIT GP22 |
1 |
|
 |
Texas Instruments |
EVAL BOARD FOR TPS3702 |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4056ETS8 |
1 |
|
 |
Renesas Electronics America |
ALL PERIPHERAL FUNCTIONS OF RE01 |
48 |
|
 |
Azumo |
FLEX DEV KIR & SHARP LS027B7DH01 |
12 |
|
 |
Texas Instruments |
EVAIL MOD |
5 |
|
 |
NXP Semiconductors |
FREEDOM EXPANSION BOARD -PF1550 |
8 |
|
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)