Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
VS-JV10A-K02

VS-JV10A-K02

KEMET

VS-JV10A CABLE KIT

0

3779

3779

Adafruit

AS7262 6-CHANNEL VISIBLE LIGHT

124

AG932-07E

AG932-07E

NVE Corporation

ADT002 ROTATION SENSOR EVAL KIT

63

2525020210091

2525020210091

Würth Elektronik Midcom

EVALUATION BOARD WSEN-HIDS, 0% T

5

TMG3992EVM

TMG3992EVM

ams

EVAL MODULE FOR TMG3992

3

3577

3577

Pololu Corporation

BALBOA REFLECTANCE SENSOR ARRAY

47

TMP468EVM

TMP468EVM

Texas Instruments

EVAL BOARD FOR TMP468

9

SMOD701KITV1

SMOD701KITV1

Renesas Electronics America

HYDROGEN SENSOR EVAL KIT

0

STEVAL-MKI193V1

STEVAL-MKI193V1

STMicroelectronics

ASM330LHH ADAPTER BOARD FOR A ST

44

AS7225 DEMO KIT

AS7225 DEMO KIT

ams

AS7225 DEV KIT

3

EVB922XX

EVB922XX

Melexis

EVAL BOARD FOR MLX92232

3

AS5170B-SO_EK_AB

AS5170B-SO_EK_AB

ams

EVAL BOARD FOR AS5170B

18

MAX-HEALTH-BAND

MAX-HEALTH-BAND

Maxim Integrated

EVAL HEART/VITALS MAX86140+20303

52155

MAXREFDES131#

MAXREFDES131#

Maxim Integrated

EV KIT 1-WIRE GRID-EYE SENSOR

22184

MXP7205VW-B

MXP7205VW-B

MEMSIC

BOARD EVAL FOR MXR7205VW

0

EVAL-ADXL346Z-S

EVAL-ADXL346Z-S

Analog Devices, Inc.

BOARD EVALUATION FOR ADXL346Z-S

0

102990763

102990763

Seeed

OPENMV CAM M7

0

TLI5012BE1000MS2GOTOBO1

TLI5012BE1000MS2GOTOBO1

IR (Infineon Technologies)

EVAL TLI5012B ANGLE SENSOR

10

STEVAL-IFS012V6

STEVAL-IFS012V6

STMicroelectronics

EVAL DAUGHTER STDS75 8-SOIC

0

SDAWIR03-AMZ01-NA

SDAWIR03-AMZ01-NA

Renesas Electronics America

SENSORSHARE CLOUD-ENABLED EVALUA

5

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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