Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
SEN-13676

SEN-13676

SparkFun

SPARKFUN ATMOSPHERIC SENSOR BREA

148

SEN-14518

SEN-14518

SparkFun

FINGERPRINT SCANNER - TTL (GT-52

40

SEN-12916

SEN-12916

SparkFun

SPARKFUN HMC6343 BREAKOUT

28

SEN-13582

SEN-13582

SparkFun

LINE FOLLOWER ARRAY 13582

4

SEN-11447

SEN-11447

SparkFun

WAKE ON SHAKE

0

SEN-09721

SEN-09721

SparkFun

MPL115A1 BAROMETRIC PRESS SENSOR

3

SEN-10740

SEN-10740

SparkFun

MLX90614 INFRARED THERMOMETER

98

SEN-13284

SEN-13284

SparkFun

SPARKFUN 9 DEGREES OF FREEDOM IM

0

DEV-17544

DEV-17544

SparkFun

PURETHERMAL MINI PRO JST-SR (WIT

0

SEN-12041

SEN-12041

SparkFun

CAPACITIVE TOUCH BREAKOUT - AT42

68

SEN-16989

SEN-16989

SparkFun

OPENMV CAM H7 PLUS

132

SEN-12787

SEN-12787

SparkFun

RGB AND GESTURE SENSOR APDS-9960

43

SEN-13261

SEN-13261

SparkFun

SPARKFUN OPENSCALE

187

SEN-09836

SEN-09836

SparkFun

EVAL BOARD FOR ADXL345

73

SEN-12784

SEN-12784

SparkFun

SPARKFUN TOF RANGE FINDER BREAKO

12

DEV-13298

DEV-13298

SparkFun

BARE CONDUCTIVE TOUCH BOARD

0

SEN-12803

SEN-12803

SparkFun

SPARKFUN TRIPLE AXIS ACCELEROMET

26

DEV-14670

DEV-14670

SparkFun

PURETHERMAL 2 - FLIR LEPTON SMAR

0

SEN-16474

SEN-16474

SparkFun

PHOTODETECTOR BREAKOUT - MAX3010

142

KIT-15948

KIT-15948

SparkFun

FLIR RADIOMETRIC LEPTON DEV V2

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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