Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
EV_ICM-20948

EV_ICM-20948

TDK InvenSense

EVAL BOARD

35

DK-CH201

DK-CH201

TDK InvenSense

CHIRP CH-201 DEVELOPMENT BOARD,

29

DK-CH101

DK-CH101

TDK InvenSense

CH101 CHIRP DEVELOPMENT KIT

148

EV_ICM-20648

EV_ICM-20648

TDK InvenSense

ICM-20648 EVALUATION BOARD

13

DK-20680A

DK-20680A

TDK InvenSense

EVAL BOARD FOR IAM-20680

3

DK-20948

DK-20948

TDK InvenSense

DEVELOPMENT BOARD FOR ICM-20948

39

EV_ICM-20601

EV_ICM-20601

TDK InvenSense

ICM-20601 EVALUATION BOARD

1

DK-42605

DK-42605

TDK InvenSense

DEVELOPMENT KIT FOR ICM-42605

17

DK-20648

DK-20648

TDK InvenSense

DEVELOPMENT BOARD FOR ICM-20648

11

EV_MOD_CH201-00-01

EV_MOD_CH201-00-01

TDK InvenSense

CHIRP EVAL BRD FOR CH201

208

DK-20680HP

DK-20680HP

TDK InvenSense

IAM-20680HP EVAL BOARD

33

DK-42688-P

DK-42688-P

TDK InvenSense

ICM-42688-P EVAL BOARD

64

MPU-6000EVB

MPU-6000EVB

TDK InvenSense

BOARD EVAL FOR MPU-6000

1

DK-20789

DK-20789

TDK InvenSense

DEVELOPMENT BOARD FOR ICM-20789

2

MPU-3300EVB

MPU-3300EVB

TDK InvenSense

BOARD EVAL FOR MPU-3300

0

MD-42688-P

MD-42688-P

TDK InvenSense

SMARTBUG MULTI-SENSOR WIRELESS

136

DK-10100

DK-10100

TDK InvenSense

ICP-10100 DEVELOPMENT KIT BOARD

18

MPU-6050EVB

MPU-6050EVB

TDK InvenSense

BOARD EVAL FOR MPU-6050

3

EV_ICM-20689

EV_ICM-20689

TDK InvenSense

ICM-20689 EVALUATION BOARD

4

EV_ICM-20602

EV_ICM-20602

TDK InvenSense

ICM-20602 EVALUATION BOARD

37

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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