Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
DRV-ACC16-EVM

DRV-ACC16-EVM

Texas Instruments

ACCELEROMETER MEASUREMENT TOOL

35

LMT88-9EVM

LMT88-9EVM

Texas Instruments

EVAL MODULE FOR LMT88-9

1

TMP108EVM

TMP108EVM

Texas Instruments

EVAL MODULE FOR TMP108

4

TMP75CEVM

TMP75CEVM

Texas Instruments

EVAL MODULE TMP75C

2

LM20XEVM

LM20XEVM

Texas Instruments

EVALUATION BOARD FOR LM20X

2

EVM430-FR6047

EVM430-FR6047

Texas Instruments

EVAL MODULE MSP430FR6047

19

HDC2022EVM

HDC2022EVM

Texas Instruments

HDC2022 TEMPERATURE AND HUMIDITY

11

TMP461EVM

TMP461EVM

Texas Instruments

EVAL MODULE TMP461

2

LDC1314DIAL-EVM

LDC1314DIAL-EVM

Texas Instruments

EVALUATION MODULE

3

TMP116METER-EVM

TMP116METER-EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

3

TMP235EVM

TMP235EVM

Texas Instruments

EVAL BOARD FOR TMP235

3

TMP112EVM

TMP112EVM

Texas Instruments

EVAL BOARD FOR TMP112

3

OPT3002EVM

OPT3002EVM

Texas Instruments

EVAL BOARD FOR OPT3002

12

LMT01EVM

LMT01EVM

Texas Instruments

EVAL BOARD FOR LMT01

6

LM96163EB/NOPB

LM96163EB/NOPB

Texas Instruments

BOARD EVAL FOR LM96163 SENSOR

1

LM75AEVM

LM75AEVM

Texas Instruments

EVAL MODULE FOR LM75A

13

LM63LM64LM96X63EVM

LM63LM64LM96X63EVM

Texas Instruments

EVAL MODULE LM63 LM64 LM96X63

2

EVM430-FR6043

EVM430-FR6043

Texas Instruments

MCU EVAL

6

DRV5032-SOLAR-EVM

DRV5032-SOLAR-EVM

Texas Instruments

EVALUATION MODULE

9

LM57EVM

LM57EVM

Texas Instruments

EVAL MODULE FOR LM57

4

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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