STMicroelectronics LIS2DOCTR 3-Axis Low-Power Accelerometer – LGA Package

  • Measures acceleration to detect motion and orientation changes, enabling responsive device interactions.
  • Features a high-resolution sensing capability, improving accuracy in tracking subtle movements.
  • Comes in a compact LFCSP package, optimizing board space and simplifying device integration.
  • Ideal for wearable devices where precise motion detection enhances user experience and functionality.
  • Designed with robust quality controls to ensure consistent performance under various operating conditions.
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LIS2DOCTR Overview

The LIS2DOCTR is a highly integrated, ultra-low-power 3-axis digital accelerometer designed for precise motion sensing in industrial and consumer applications. Featuring an embedded machine learning core for advanced activity recognition, it delivers accurate data with minimal power consumption, making it ideal for portable and battery-operated devices. The device supports multiple output data rates and full-scale ranges, ensuring adaptability across diverse use cases. With robust embedded features and flexible communication interfaces, the LIS2DOCTR enables efficient system integration and reliable performance. For detailed product support and purchasing information, visit Fabricant de circuits intégrés.

LIS2DOCTR Technical Specifications

Paramètres Spécifications
Axes 3-axis accelerometer
Consommation électrique Ultra-low power, typical current ?? 12 ??A in low-power mode
Taux de données de sortie (ODR) From 1 Hz to 1.6 kHz
Full Scale Range ??2 g / ??4 g / ??8 g / ??16 g
Interface I2C / SPI digital interface
Embedded Features Machine learning core with programmable finite state machine
Tension de fonctionnement 1,7 V à 3,6 V
Paquet 2 mm ?? 2 mm ?? 0.7 mm LGA
Plage de température De -40 ??C à +85 ??C

LIS2DOCTR Key Features

  • Embedded machine learning core: Enables on-device activity recognition and gesture detection, reducing host processor load and conserving system power.
  • Wide dynamic range and selectable full-scale options: Allows precise measurement across diverse motion profiles, improving application flexibility.
  • Très faible consommation d'énergie : Extends battery life in portable and wearable devices without compromising performance.
  • High output data rates: Supports fast sampling up to 1.6 kHz for detailed motion analysis in industrial monitoring and diagnostics.

Applications typiques

  • Industrial machinery monitoring: Provides accurate vibration and tilt detection to support predictive maintenance and reduce downtime.
  • Wearable devices: Enables efficient activity tracking and gesture recognition with minimal power draw for extended usage.
  • Consumer electronics: Integrates into smartphones, tablets, and gaming controllers for enhanced user interaction and motion sensing.
  • Smart home and IoT devices: Supports motion-triggered actions and security monitoring with reliable and low-power sensing.

LIS2DOCTR Advantages vs Typical Alternatives

This accelerometer stands out with its embedded machine learning core, offering on-chip activity classification that reduces host processor demands and overall system power. Its ultra-low power profile and wide selectable full-scale ranges provide superior sensitivity and flexibility compared to standard accelerometers. The compact LGA package and robust digital interfaces simplify integration, making it a reliable and efficient choice for demanding industrial and consumer applications.

LIS2DOCTR Brand Info

The LIS2DOCTR is a product from STMicroelectronics, a global leader in semiconductor solutions. STMicroelectronics is renowned for its innovation in MEMS sensors and accelerometers, delivering cutting-edge technology that meets stringent industrial standards. The LIS2DOCTR continues this legacy by integrating advanced machine learning capabilities and ultra-low-power consumption in a compact form factor, designed to address modern embedded system challenges in motion sensing.

FAQ

What are the main communication interfaces supported by this accelerometer?

The device supports both I2C and SPI digital interfaces, allowing flexible integration with a wide range of microcontrollers and processors. These interfaces facilitate efficient data transfer and configuration, making the sensor adaptable to various system architectures.

How does the embedded machine learning core benefit system design?

The embedded machine learning core enables on-device activity recognition and gesture detection. This reduces the computational load on the host processor, lowers power consumption, and allows for faster, real-time motion processing without relying on external algorithms.

What power supply voltage range is compatible with the sensor?

The accelerometer operates over a wide voltage range from 1.7 V to 3.6 V, making it suitable for battery-powered and low-voltage systems commonly found in portable and embedded applications.

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