Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
SEN-15870

SEN-15870

SparkFun

SLAMTEC MAPPER DEVELOPER KIT - L

0

SEN-10736

SEN-10736

SparkFun

RAZOR IMU

0

SEN-13007

SEN-13007

SparkFun

FINGERPRINT SCANNER - 5V TTL (GT

0

SEN-11792

SEN-11792

SparkFun

FINGERPRINT SCANNER TTL GT-511C3

0

SEN-11341

SEN-11341

SparkFun

LPY503AL GYRO BREAKOUT

0

BOB-08882

BOB-08882

SparkFun

EVAL BOARD FOR ACS712

0

SEN-14985

SEN-14985

SparkFun

OPENMV M7 CAMERA

0

SEN-09695

SEN-09695

SparkFun

MPR121 PROX/CAP SENSE

0

SEN-13762

SEN-13762

SparkFun

SPARKFUN IMU BREAKOUT - MPU-9250

0

SEN-08883

SEN-08883

SparkFun

LOW CURRENT SENSOR BREAKOUT - AC

0

KIT-13233

KIT-13233

SparkFun

FLIR DEV KIT

0

SEN-14534

SEN-14534

SparkFun

WALABOT STARTER

0

SEN-10612

SEN-10612

SparkFun

TRI-AXIS GYRO BREAKOUT - L3G4200

0

SEN-11931

SEN-11931

SparkFun

EVAL BOARD FOR TMP102

0

SEN-13683

SEN-13683

SparkFun

HUMIDITY AND TEMPERATURE SENSOR

0

SEN-11977

SEN-11977

SparkFun

TRIPLE-AXIS DIGITAL-OUTPUT GYRO

0

SEN-14045

SEN-14045

SparkFun

PARTICLE SENSOR BREAKOUT BOARD

0

SEN-11486

SEN-11486

SparkFun

MPU-9150 GYRO ACCEL IMU 9DOF

0

KIT-13772

KIT-13772

SparkFun

MYOWARE MUSCLE SENSOR DEVELOPMEN

0

SEN-12670

SEN-12670

SparkFun

EVAL BOARD FOR MAG3110

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.

RFQ BOM Call Skype Email
Top