Apple inc. (20240251159). POWER EFFICIENT OBJECT TRACKING simplified abstract
Contents
POWER EFFICIENT OBJECT TRACKING
Organization Name
Inventor(s)
Anselm Grundhoefer of Sunnyvale CA (US)
POWER EFFICIENT OBJECT TRACKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240251159 titled 'POWER EFFICIENT OBJECT TRACKING
The abstract of the patent application describes the implementation of power-efficient object detection technology for electronic devices, particularly portable and battery-powered devices. This technology enables extended tracking of objects by recommending the use of specific sensors for object tracking.
- Power-efficient object detection technology for electronic devices
- Enables extended tracking of objects by portable devices
- Recommendation engine with machine learning model or rule-based process for sensor recommendations
- Trained to output sensor recommendations for object tracking
- Indicates which sensor to operate and accuracy level for tracking objects
Potential Applications: - Consumer electronics - Wearable devices - IoT devices - Security systems
Problems Solved: - Enhances battery life of portable devices - Improves object tracking accuracy - Optimizes sensor usage for efficient tracking
Benefits: - Extended object tracking capabilities - Improved power efficiency - Enhanced user experience
Commercial Applications: Title: "Enhanced Object Tracking Technology for Portable Devices" Commercial uses: Consumer electronics, security systems, IoT devices Market implications: Increased demand for power-efficient object tracking solutions
Questions about the technology: 1. How does the recommendation engine determine which sensor to recommend for object tracking? - The recommendation engine uses a machine learning model or rule-based process to analyze data and make sensor recommendations based on object tracking requirements.
2. What are the potential limitations of using power-efficient object detection technology in electronic devices? - Some potential limitations may include sensor accuracy, compatibility with different devices, and the need for continuous optimization for different tracking scenarios.
Original Abstract Submitted
implementations of the subject technology provide power efficient object detection for electronic devices. power efficient object detection can be provided in order to allow extended tracking of objects by portable devices such as battery powered devices. in one or more implementations, a recommendation engine including a machine learning model and/or a rule-based recommendation process may be provided that has been trained to output a sensor recommendation indicating at least one sensor for object tracking. the sensor recommendation can indicate which of several sensors to operate to track a particular object and/or an accuracy level for operating the recommended sensor.
