Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
TMD2672EVM

TMD2672EVM

ams

EVAL MODULE FOR TMD2672

3

SCC1300-D02-PWB

SCC1300-D02-PWB

TOKO / Murata

BOARD PWB W/SCC1300-D02

0

TMP116METER-EVM

TMP116METER-EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

3

ASEK710KLA-6BB-T-DK

ASEK710KLA-6BB-T-DK

Allegro MicroSystems

BOARD DEMO 710KLA-6BB SENSOR

2

ISL29023IROZ-EVALZ

ISL29023IROZ-EVALZ

Intersil (Renesas Electronics America)

EVALUATION BOARD ISL29023IROZ

0

FRDM-STBC-AGM01

FRDM-STBC-AGM01

NXP Semiconductors

FREEDOM BOARD FXAS21002/FXOS8700

22

AR0522SRSM09SURAH3-GEVB

AR0522SRSM09SURAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

5MP 1/2 CIS 9 DEG CRA MPL

2

EVALSHNBV01DPS368TOBO1

EVALSHNBV01DPS368TOBO1

IR (Infineon Technologies)

SENSOR HUB NANO DPS368

13

AS5145A-SS_EK_AB

AS5145A-SS_EK_AB

ams

BOARD ADAPTER AS5145A

0

AS5147P-TS_EK_AB

AS5147P-TS_EK_AB

ams

BOARD ADAPTER AS5147P

65

ASEK716KLA-12CB-T-DK

ASEK716KLA-12CB-T-DK

Allegro MicroSystems

BOARD DEMO 716KLA-12CB SENSOR

2

4101

4101

Pololu Corporation

QTR-HD-01RC REF SENSOR 1CHNL

218

ESP-EYE

ESP-EYE

Espressif Systems

ESP-EYE DEVELOPMENT BOARD

57

STEVAL-MKI200V1K

STEVAL-MKI200V1K

STMicroelectronics

STTS22H TEMPERATURE PROBE KIT

33

TLE5014PROGKITTOBO1

TLE5014PROGKITTOBO1

IR (Infineon Technologies)

EVALUATION BOARD FOR TLE5014

6

FPP800KIT1

FPP800KIT1

TE Connectivity Measurement Specialties

FPS DATA VIEWER DEMO KIT

0

SEN0168

SEN0168

DFRobot

TRIPLE AXIS ACCELEROMETER BMA220

3

ASEK723LLC-05AB-T-DK

ASEK723LLC-05AB-T-DK

Allegro MicroSystems

EVAL BOARD FOR ACS723LLC

3

IRMFB-EK

IRMFB-EK

Silicon Labs

EVAL KIT FOR SI114X

2

AS5162-SO_EK_AB

AS5162-SO_EK_AB

ams

ADAPTER BOARD FOR AS5162

2

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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