Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
STEVAL-MKI097V1

STEVAL-MKI097V1

STMicroelectronics

BOARD ADAPTER LPR430AL DIL24

0

STEVAL-MKI043V1

STEVAL-MKI043V1

STMicroelectronics

EVAL BOARD FOR LPR510AL

0

P-NUCLEO-6180X2

P-NUCLEO-6180X2

STMicroelectronics

BOARD EXPANSION VL6180X

0

STEVAL-MKI128V5

STEVAL-MKI128V5

STMicroelectronics

EVAL BOARD MEMS MOTION SENSORS

0

STEVAL-MKI073V1

STEVAL-MKI073V1

STMicroelectronics

BOARD DEMO MEMS LY3200ALH

0

STEVAL-MKI006V1

STEVAL-MKI006V1

STMicroelectronics

BOARD EVALUATION LIS302DL

0

STEVAL-MKI083V1

STEVAL-MKI083V1

STMicroelectronics

BOARD ADAPTER LPY450A2 DIL24

0

STEVAL-MKI019V1

STEVAL-MKI019V1

STMicroelectronics

BOARD DEMO LIS302SG

0

STEVAL-IDI003V2

STEVAL-IDI003V2

STMicroelectronics

EVAL BOARD RF MULTI-SENSOR

0

STEVAL-MKI107V1

STEVAL-MKI107V1

STMicroelectronics

BOARD ADAPT L3G4200D DIL24 SKT

0

STEVAL-MKI063V1

STEVAL-MKI063V1

STMicroelectronics

BOARD DEMO MEMS LSM303DLH

0

EVALKIT-VL6180X

EVALKIT-VL6180X

STMicroelectronics

KIT EVAL STM32 F401 VL6180X

0

STEVAL-IFS012V1

STEVAL-IFS012V1

STMicroelectronics

BOARD ST72651AR6/STTS75/STLM20

0

STEVAL-MKI091V1

STEVAL-MKI091V1

STMicroelectronics

DEMO BOARD FOR LIS331DLM

0

STEVAL-MKI104V1

STEVAL-MKI104V1

STMicroelectronics

BOARD DEMO MEMS LPY403AL

0

STEVAL-MKI101V1

STEVAL-MKI101V1

STMicroelectronics

BOARD DEMO MEMS LPY450AL

0

STEVAL-MKI077V1

STEVAL-MKI077V1

STMicroelectronics

BOARD DEMO LPR4150AL GYROSCOPE

0

STEVAL-IFS012V9

STEVAL-IFS012V9

STMicroelectronics

MEMS TEMP SENSOR CARD

0

STEVAL-STWINKT1

STEVAL-STWINKT1

STMicroelectronics

STWIN SENSORTILE WIRELESS INDUST

5

STEVAL-MKI024V1

STEVAL-MKI024V1

STMicroelectronics

DEMO BOARD BASED ON LIS331DL

0

Evaluation Boards - Sensors

1. Overview

Evaluation boards for sensors are specialized hardware platforms designed to test, validate, and develop sensor-based applications. These boards integrate sensor elements with processing units, communication interfaces, and power management modules. They play a critical role in accelerating product development cycles in industries such as IoT, industrial automation, healthcare, and consumer electronics by enabling rapid prototyping and performance characterization.

2. Major Types and Functional Classification

TypeFunctional FeaturesApplication Examples
Temperature Sensor BoardsHigh-precision thermal sensing with digital/analog outputsClimate control systems, medical devices
Accelerometer Boards3-axis motion detection with programmable sensitivityVibration monitoring, fitness trackers
Pressure Sensor BoardsAtmospheric/differential pressure measurementWeather stations, automotive systems
Environmental Sensor BoardsMulti-parameter detection (humidity, gas, light)Smart agriculture, air quality monitors
Image Sensor BoardsHigh-resolution optical sensing with ISP integrationSurveillance cameras, machine vision

3. Structure and Components

Typical evaluation boards consist of: - Sensor element (MEMS, CMOS, or discrete transducers) - Microcontroller/SoC with ADC/DAC interfaces - Communication modules (I2C, SPI, UART, BLE/Wi-Fi) - Power management ICs and voltage regulators - Debugging interfaces (JTAG, SWD) - Auxiliary components (LED indicators, potentiometers) The PCB layout optimizes signal integrity while minimizing electromagnetic interference.

4. Key Technical Specifications

ParameterDescriptionImportance
Measurement RangeMinimum/maximum detectable valuesDetermines application suitability
AccuracyError margin vs. reference valuesImpacts system reliability
Sampling RateData acquisition frequencyDefines dynamic response capability
Power ConsumptionOperating current/voltage requirementsAffects battery life and thermal design
Interface TypeCommunication protocol compatibilityDictates system integration complexity

5. Application Areas

  • Industrial Automation: Predictive maintenance systems, process control
  • Healthcare: Wearable vital sign monitors, diagnostic equipment
  • Consumer Electronics: Smart home devices, mobile accessories
  • Automotive: Tire pressure monitoring, ADAS sensors
  • Aerospace: Structural health monitoring, navigation systems

6. Leading Manufacturers and Products

ManufacturerRepresentative ProductKey Features
STMicroelectronicsSTEVAL-MKI187V16-axis IMU with advanced calibration
Texas InstrumentsBOOSTXL-ULTRASONICUltrasonic sensing for distance measurement
Analog DevicesEVAL-ADICUP3029Low-power Cortex-M4F based platform
NXP SemiconductorsFRDM-FXS-MULTI-BMulti-sensor fusion for IoT applications

7. Selection Guidelines

Key considerations include: - Match sensor specifications to target application requirements - Verify compatibility with existing development ecosystems - Evaluate power budget and form factor constraints - Consider available software support (drivers, SDKs) - Assess calibration and certification requirements Example: For a wearable health monitor, prioritize low-power accelerometers with medical-grade accuracy.

8. Industry Trends

Emerging trends include: - Integration of AI accelerators for edge computing - Development of wireless sensor nodes with energy harvesting - Advancements in MEMS fabrication for higher sensitivity - Standardization of sensor fusion algorithms - Growth of open-source hardware ecosystems Market projections indicate a 12% CAGR through 2027 driven by IoT and Industry 4.0 adoption.

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