Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
MAXREFDES27#

MAXREFDES27#

Maxim Integrated

IO-LINK OPTICAL PROXIMITY SENSOR

210

STEVAL-MKIT01V1

STEVAL-MKIT01V1

STMicroelectronics

MEMS SENSOR SAMPLE KIT

7

EVAL-ADPD188BIZ-S2

EVAL-ADPD188BIZ-S2

Analog Devices, Inc.

EVALUATION BOARD ADPD188BIZ

93

2511223013391

2511223013391

Würth Elektronik Midcom

EVALUATION BOARD WSEN-PADS, 26 T

43

DEV-14022

DEV-14022

SparkFun

BITALINO (R)EVOLUTION BOARD KIT

0

AS3935-DK

AS3935-DK

ScioSense

BOARD EVAL FOR AS3935

14

ADM00615

ADM00615

Roving Networks / Microchip Technology

BOARD REMOTE TEMP SENSOR MCP9902

0

DM160223

DM160223

Roving Networks / Microchip Technology

BOARD EVAL CAP1298

4

EVKITCAH-1

EVKITCAH-1

Gas Sensing Solutions Ltd

EVALUATION KIT, ULTRA-LOW POWER

8

SEN-11446

SEN-11446

SparkFun

ADXL362 ACCELEROMETER BREAKOUT

37

MAX30101ACCEVKIT#

MAX30101ACCEVKIT#

Maxim Integrated

INTEGRATED OPTICAL SENSOR EVKIT

3073

TCS3200EVM

TCS3200EVM

ams

EVAL MODULE FOR TCS3200

3

STEVAL-MKI191V1

STEVAL-MKI191V1

STMicroelectronics

IIS2DLPC ADAPTER BOARD FOR A STA

17

3199

3199

Adafruit

ADAFRUIT MICS5524 CO, ALCOHOL AN

11

AR0141IRSH00SUEAH3-GEVB

AR0141IRSH00SUEAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 1 MP 1/4 CIS RGB-IR 0

1

102110426

102110426

Seeed

MLX90621 BAB THERMAL IMAGING CAM

0

SEK SCC30-DB SAMPLE

SEK SCC30-DB SAMPLE

Sensirion

SCC30 EVALUATION KIT

32

SI7013EVB-UDP-M3L1

SI7013EVB-UDP-M3L1

Silicon Labs

KIT DEMO LOG SIM3L1XX+SI7013

1

4446

4446

Pololu Corporation

QTRX-MD-06A REF ARRAY 6CHNL

50

4144

4144

Pololu Corporation

QTR-MD-04RC REF ARRAY 4CHNL

71

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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