Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
106990290

106990290

Seeed

LIPO RIDER PLUS (CHARGER/BOOSTER

427

102991005

102991005

Seeed

HEELIGHT CORE

0

105090001

105090001

Seeed

4WD DRIVER PLATFORM V1.0

0

102991495

102991495

Seeed

CANBED M4 DEVELOPMENT BOARD WITH

20

317010008

317010008

Seeed

QI WIRELSS CHARGER RCVR 5V 500MA

0

106990018

106990018

Seeed

WIRELESS CHARGING PCB MOD 5-12V

0

106990008

106990008

Seeed

LIPO RIDER PRO

0

114991391

114991391

Seeed

HEELIGHT RELAY

0

102990020

102990020

Seeed

HAPKIT BOARD

0

114991438

114991438

Seeed

OBD-II CAN-BUS DEVELOPMENT KIT

76

113030020

113030020

Seeed

QI WIRELESS CHARGER TRANSMITTER

0

103990049

103990049

Seeed

USB TO UART 5V/3V3

2

106990022

106990022

Seeed

LI-PO RIDER V1.3

0

105990027

105990027

Seeed

EASY DRIVER STEPPER MOTOR DRIVER

0

102991321

102991321

Seeed

CANBED - ARDUINO CAN-BUS DEVELOP

292

103990023

103990023

Seeed

UARTSBEE V4

0

103990006

103990006

Seeed

FT2232H USB 2.0 HI-SPEED BREAKOU

0

105990131

105990131

Seeed

SPI DRIVER/ADAPTEREASILY DRIVER

7

105990130

105990130

Seeed

I2C DRIVER/ADAPTEREASILY DRIVER

11

102090044

102090044

Seeed

ROBOMASTER DEV BOARD TYPE-A

0

Evaluation and Demonstration Boards and Kits

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.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected 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.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates 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

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino 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)

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