Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
EVAL-ADXRS450Z-S

EVAL-ADXRS450Z-S

Analog Devices, Inc.

KIT SATELLITE ADXRS450 SOIC

1

EVBMCA1101-05-3

EVBMCA1101-05-3

Aceinna Inc.

EVAL BOARD FOR MCA1101-05-3

5

ASEK758ECB-200U-T-DK

ASEK758ECB-200U-T-DK

Allegro MicroSystems

BOARD DEMO 758ECB-200U SENSOR

3

EVAL-ADUCM355EMCZ

EVAL-ADUCM355EMCZ

Analog Devices, Inc.

EMC REFERENCE DESIGN BOARD

16

IQS621EV01-S

IQS621EV01-S

Azoteq

IQS621 EVAL KIT 1

3

2513254510491

2513254510491

Würth Elektronik Midcom

EVALUATION BOARD WSEN-PDUS, -100

4

4356

4356

Pololu Corporation

QTRX-MD-16RC REF ARRAY 16CHNL

66

OCB350L062Z

OCB350L062Z

TT Electronics / Optek Technology

BOARD CALIBR CIRCUIT OPB350L062

18

EVAL-ADXL1005Z

EVAL-ADXL1005Z

Analog Devices, Inc.

EVAL BOARD FOR ADXL1005 100G RAN

0

EVAL-ADXL345Z-M

EVAL-ADXL345Z-M

Analog Devices, Inc.

BOARD EVAL FOR ADXL345

0

IQS572EV02-S

IQS572EV02-S

Azoteq

IQS572 EVALUATION KIT 2

29

DVK91209

DVK91209

Melexis

KIT EVAL MLX91209 CURRENT SENSOR

2

SEK-SFM3200

SEK-SFM3200

Sensirion

EVAL KIT MASS FLOW METER SFM3200

49

4409

4409

Pololu Corporation

QTRX-HD-09A REF ARRAY 9CHNL

38

S2GO3DTLI493DW2BWA0TOBO1

S2GO3DTLI493DW2BWA0TOBO1

IR (Infineon Technologies)

DEV KIT

41

1980

1980

Adafruit

TSL2591 DIG LIGHT SENSE BREAKOUT

327

ASEK770LCB-100U-T-DK

ASEK770LCB-100U-T-DK

Allegro MicroSystems

BOARD DEMO 770LCB-100U SENSOR

2

AG931-07E

AG931-07E

NVE Corporation

AAT003 TMR ANGLE SENSOR EVAL KIT

1113

ESPICO-DK

ESPICO-DK

PalmSens

EMSTAT PICO DEVELOPMENT KIT

0

SHUTTLE BOARD BMA490L

SHUTTLE BOARD BMA490L

Bosch Sensortec

EVAL BOARD FOR BMA490L

17

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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