Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
SEN-12064

SEN-12064

SparkFun

HTU21D HUMIDITY/TEMP SENSOR

0

SEN-12017

SEN-12017

SparkFun

CAPACITIVE TOUCH KEYPAD - MPR121

0

SEN-14186

SEN-14186

SparkFun

OPENMV M7 CAMERA

0

SEN-11345

SEN-11345

SparkFun

GEIGER COUNTER

0

SEN-09332

SEN-09332

SparkFun

EVAL BOARD FOR ADXL193

0

SEN-10724

SEN-10724

SparkFun

SENSOR STICK

0

SEN-10904

SEN-10904

SparkFun

HDJD-S822 COLOR SENSOR BREAKOUT

0

SEN-10121

SEN-10121

SparkFun

IMU COMBO BOARD

0

SEN-14001

SEN-14001

SparkFun

EVAL BOARD 9DOF RAZOR IMU M0

0

SEN-12780

SEN-12780

SparkFun

EVAL BRD ZX DISTANCE AND GESTURE

0

SEN-14632

SEN-14632

SparkFun

OPENMV M7 CAMERA

0

BOB-13303

BOB-13303

SparkFun

FREEDOM BOARD 6DEG LSM303C 13303

0

SEN-11745

SEN-11745

SparkFun

CMOS CAMERA MODULE - 728X488

0

SEN-10530

SEN-10530

SparkFun

EVAL BOARD FOR HMC5883L

0

SEN-08661

SEN-08661

SparkFun

POLAR HEART RATE MONITOR INTERFA

0

SEN-11859

SEN-11859

SparkFun

EVAL BOARD FOR TMP006

0

SEN-14535

SEN-14535

SparkFun

WALABOT DEVELOPER

0

SEN-11610

SEN-11610

SparkFun

LINKSPRITE JPEG COLOR CAMERA TTL

0

SEN-12055

SEN-12055

SparkFun

TSL2561 DIGITAL LIGHT SENSOR

0

SEN-12705

SEN-12705

SparkFun

SPARKFUN UV SENSOR BREAKOUT - ML

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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