Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
28065

28065

Parallax, Inc.

LSM9DS1 9-AXIS IMU MODULE

1

SEK-SHT31-SENSORS

SEK-SHT31-SENSORS

Sensirion

SHT31 SENSORS ON FLEX STRIP

92

TCS3701-EVM

TCS3701-EVM

ams

EVAL MODULE FOR THE TCS3701

2

MOD-PULSE

MOD-PULSE

Olimex

OLIMEX MSP430FG439 MODULE

0

LXE3302AL002

LXE3302AL002

Roving Networks / Microchip Technology

LX3302A LINEAR EVB

5

STEVAL-MKI119V1

STEVAL-MKI119V1

STMicroelectronics

BOARD DEV EMOTION WIN8

45

FRDMSTBC-A8491

FRDMSTBC-A8491

NXP Semiconductors

EVAL BOARD FOR MMA8491Q

0

SEN-14350

SEN-14350

SparkFun

AMBIENT LIGHT SENSOR BREAKOUT

3

MXR9150MZ-B

MXR9150MZ-B

MEMSIC

BOARD EVAL FOR MXR9150MZ

7

T6613-EVAL

T6613-EVAL

Thermometrics (Amphenol Advanced Sensors)

T6613 DEV KIT

3

SEN-09569

SEN-09569

SparkFun

HUMIDITY SENSOR BREAKOUT

50

LM63LM64LM96X63EVM

LM63LM64LM96X63EVM

Texas Instruments

EVAL MODULE LM63 LM64 LM96X63

2

FRDMKL25-A8491

FRDMKL25-A8491

NXP Semiconductors

MMA8491Q BOARD WITH FRDM-KL25Z

9

AC164135

AC164135

Roving Networks / Microchip Technology

BOARD DAUGHTER THERMAL/LINEAR

2

SEN-14544

SEN-14544

SparkFun

CURRENT SENSOR BREAKOUT - ACS723

84

NNAMC1220PCEV

NNAMC1220PCEV

Neonode

EVAL KIT MODULE 0 DEG 122MM

64

MEMS-EVAL-BOARD

MEMS-EVAL-BOARD

TOKO / Murata

INTERFACE BOARD NO SENSOR

13

EVAL-ADXL343Z-S

EVAL-ADXL343Z-S

Analog Devices, Inc.

BOARD SATELLITE FOR ADXL343

0

EVAL-ADXL212Z

EVAL-ADXL212Z

Analog Devices, Inc.

BOARD EVAL ADXL212 ACCEL

1

MARS1-AR0231AT7-GEVB

MARS1-AR0231AT7-GEVB

Sanyo Semiconductor/ON Semiconductor

AUTOMOTIVE IMAGE SENSOR EVALBOAR

27

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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