Evaluation Boards - Sensors

Image Part Number Description / PDF Quantity Rfq
AS7026GG-WRISTBAND

AS7026GG-WRISTBAND

ams

BIOMETRIC SENSOR WRISTBAND

18

IQS680EV02-S

IQS680EV02-S

Azoteq

DEV

5

ARRAYX-BOB3-16P-GEVK

ARRAYX-BOB3-16P-GEVK

Sanyo Semiconductor/ON Semiconductor

C-ARRAY 3MM 4X4 BOB

0

MARS1-AR0220AT3-GEVB

MARS1-AR0220AT3-GEVB

Sanyo Semiconductor/ON Semiconductor

MARS AR220AT IBGA RGB HB

1

EVKT702-KNOB-Q-01A

EVKT702-KNOB-Q-01A

MPS (Monolithic Power Systems)

MAGALPHA MA702 ROTARY KNOB KIT

4

EVAL-ADXRS620Z

EVAL-ADXRS620Z

Analog Devices, Inc.

BOARD EVAL FOR ADXRS620

1

EVAL-ADXL346Z-M

EVAL-ADXL346Z-M

Analog Devices, Inc.

BOARD EVALUATION FOR ADXL346

1

2739

2739

Pololu Corporation

ALTIMU-10 GYRO ACCEL COMPASS ALT

185

IQS227/8ASEV01-S

IQS227/8ASEV01-S

Azoteq

IQS227AS & IQS228AS EVALUATION K

4

EVAL-KXTJ2-1009

EVAL-KXTJ2-1009

ROHM Semiconductor

BOARD EVALUATION FOR KXTJ2-1009

5

SEN-15219

SEN-15219

SparkFun

PULSE OXIMETER & HEART RATE SENS

187

TRK-1T02-E

TRK-1T02-E

ams

EVAL KIT POSITION SENSOR

2

101020060

101020060

Seeed

PIR MOTION SENSOR

231

ASEK-21-KIT-T-DK

ASEK-21-KIT-T-DK

Allegro MicroSystems

EVAL BOARD ASEK HALL SENSOR

13

FRDM-K22F-SA9500

FRDM-K22F-SA9500

NXP Semiconductors

FXLC95000CL BOARD WITH FRDM-K22F

0

EVAL-KXTH9-2083

EVAL-KXTH9-2083

ROHM Semiconductor

BOARD EVALUATION FOR KXTH9-2083

0

MPU-6000EVB

MPU-6000EVB

TDK InvenSense

BOARD EVAL FOR MPU-6000

1

114990070

114990070

Seeed

MOTOR SPEED SENSOR MODULE

0

SCA2100-D02-PCB

SCA2100-D02-PCB

TOKO / Murata

EVAL BOARD ACCELEROMETER XY-AXIS

0

ADM00665

ADM00665

Roving Networks / Microchip Technology

EVAL BOARD FOR MCP9600

9

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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