Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVB80104-B

EVB80104-B

Melexis

BOARD EVAL PCB MLX80104 UNIROM

0

EVB81107-A1

EVB81107-A1

Melexis

EVAL PCB MLX81107 LIN RGB W/SKT

1

EVB80104-A2

EVB80104-A2

Melexis

BOARD EVAL FOR MLX80108 SW DEV

0

EVB81112-A1

EVB81112-A1

Melexis

EVAL BOARD PCB LIN RGB W/SKT

3

EVB80104-A3

EVB80104-A3

Melexis

BOARD EVAL FOR MLX80105 OTP

0

EVB80104-A1

EVB80104-A1

Melexis

BOARD EVAL FOR MLX80104 UNIROM

1

EVB90314

EVB90314

Melexis

DEMO KIT MLX90314 SENS INTERFACE

2

EVB90308

EVB90308

Melexis

DEMO KIT MLX90308 SENS INTERFACE

0

EVB81115-A1

EVB81115-A1

Melexis

BOARD EVAL MLX81115 A1 LIN RGB

1

EVB83100-01

EVB83100-01

Melexis

EVALUATION BOARD FOR MLX83100 DC

5

EVB81115-A2

EVB81115-A2

Melexis

BOARD EVAL MLX81115 A2 LIN RGB

1

EVB83203-01

EVB83203-01

Melexis

EVALUATION BOARD FOR MLX83203 AN

1

EVB81120-A1

EVB81120-A1

Melexis

BOARD EVAL MLX81120 A1 LIN RGB

2

EVB90320

EVB90320

Melexis

KIT EVAL BOARD CD W/SOFTWARE

0

EVB81106-A1

EVB81106-A1

Melexis

EVAL PCB MLX81106 LIN RGB W/SKT

0

DMB_WPT

DMB_WPT

Melexis

DEMONSTRATOR FOR WIRELESS POWER

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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