Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
AS5048B-TS_EK_AB

AS5048B-TS_EK_AB

ams

BOARD ADAPTER AS5048

108

LF-PNV-EVN

LF-PNV-EVN

Lattice Semiconductor

BOARD MN34041 SENSOR NANOVESTA

1

ADXL213EB

ADXL213EB

Analog Devices, Inc.

BOARD EVALUATION FOR ADXL213

12

EVBMCR1101-20-3

EVBMCR1101-20-3

Aceinna Inc.

EVAL BOARD FOR MCR1101-20-3

0

AG040C

AG040C

NVE Corporation

ADL021 EXTERNAL POWERED DEMO BRD

10

TLE5012BE1000MS2GOTOBO1

TLE5012BE1000MS2GOTOBO1

IR (Infineon Technologies)

EVAL TLE5012B ANGLE SENSOR

1

AS5600-SO_EK_ST

AS5600-SO_EK_ST

ams

EVAL BOARD FOR AS5600

6

AR1335CSSC11SMKAH3-GEVB

AR1335CSSC11SMKAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 13 MP 1/3" CIS 11 DEG

7

4601

4601

Pololu Corporation

QTRXL-HD-01A REF SENSOR 1CHNL

196

AR0521SR2M09SURAH3-GEVB

AR0521SR2M09SURAH3-GEVB

Sanyo Semiconductor/ON Semiconductor

BOARD EVAL 5MP 1/2 CIS 9 DEG CRA

3

SHT31 SMART GADGET

SHT31 SMART GADGET

Sensirion

EVAL BOARD TEMP AND HUMIDITY W/B

397

STEVAL-MKI103V1

STEVAL-MKI103V1

STMicroelectronics

BOARD MEMS DEMO FOR GYROSCOPE

0

STEVAL-MKI169V1

STEVAL-MKI169V1

STMicroelectronics

EVAL BOARD FOR I3G4250D

11

MICROFC-SMA-30050-GEVB

MICROFC-SMA-30050-GEVB

Sanyo Semiconductor/ON Semiconductor

C-SERIES 3MM 50U SMA

4

BHI160-SHUTL

BHI160-SHUTL

Bosch Sensortec

BHI160 - ANDROID SENSOR HUB, 3-A

1

28041

28041

Parallax, Inc.

LASER PING 2M RANGE FINDER

9

AS5600-SO_EK_AB

AS5600-SO_EK_AB

ams

ADAPTER BOARD FOR AS5600

153

TSL2771EVM2

TSL2771EVM2

ams

EVAL MODULE 2 FOR TSL2771

2

ASEK772LCB-050B-T-DK

ASEK772LCB-050B-T-DK

Allegro MicroSystems

EVAL BOARD FOR ACS772

4

NNAMC3460PCEV

NNAMC3460PCEV

Neonode

EVAL KIT MODULE 0 DEG 346MM

94

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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