Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
AXO215-EVB3

AXO215-EVB3

Tronics

EVALUATION BOARD FOR AXO215

1

STEVAL-MKI142V1

STEVAL-MKI142V1

STMicroelectronics

ADAPTER BOARD LPS25H DIL24

65

SEN-14480

SEN-14480

SparkFun

TRIPLE AXIS ACCELEROMETER BREAKO

17

4244

4244

Pololu Corporation

QTR-MD-04A REF ARRAY 4CHNL

100

ZMID5202MROT36001

ZMID5202MROT36001

Renesas Electronics America

EVALUATION KIT

2

4207

4207

Pololu Corporation

QTR-HD-07A REF ARRAY 7CHNL

113

ASEK-70331EESA-2P5U3-DK

ASEK-70331EESA-2P5U3-DK

Allegro MicroSystems

EVAL BOARD FOR ACS70331

45

SI1140DK

SI1140DK

Silicon Labs

BOARD EVAL SI1143-A10-GM

1

IQS316EV02-S

IQS316EV02-S

Azoteq

IQS316 EVALUATION KIT 2

6

201876-003

201876-003

Watterott electronic

ACS725 STROMSENSOR BREAKOUT 10A

9

EVAL-ADXL377Z

EVAL-ADXL377Z

Analog Devices, Inc.

BOARD EVALUATION FOR ADXL377

27

ASEK-1346-7-T-KIT-DK

ASEK-1346-7-T-KIT-DK

Allegro MicroSystems

EVAL BOARD FOR A1346

5

LI-USB30-MIPI-TESTER

LI-USB30-MIPI-TESTER

Leopard Imaging Inc.

DEV TESTER MIPI USB3.0 TOOL

5

DK-20948

DK-20948

TDK InvenSense

DEVELOPMENT BOARD FOR ICM-20948

39

SEN-15441

SEN-15441

SparkFun

LIGHTNING DETECTOR - AS3935

23

AS5047P-TS_EK_AB

AS5047P-TS_EK_AB

ams

BOARD ADAPTER AS5047P

248

SMOD711KITV1

SMOD711KITV1

Renesas Electronics America

FLAMMABLE GAS SENSOR EVAL KIT

3

LDC1314DIAL-EVM

LDC1314DIAL-EVM

Texas Instruments

EVALUATION MODULE

3

AR0230CSSC00SUEAH3-GEVB

AR0230CSSC00SUEAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 2 MP 1/3" CIS HB

6

150-3040-1

150-3040-1

BECOM Systems GmbH

SENTIS3D - M520 KIT

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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