Qualcomm incorporated (20240098357). CAMERA INITIALIZATION FOR REDUCED LATENCY simplified abstract

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CAMERA INITIALIZATION FOR REDUCED LATENCY

Organization Name

qualcomm incorporated

Inventor(s)

Wesley James Holland of Encinitas CA (US)

Upal Mahbub of Santee CA (US)

Venkata Ravi Kiran Dayana of San Diego CA (US)

Rengaraj Thirupathi of San Diego CA (US)

CAMERA INITIALIZATION FOR REDUCED LATENCY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240098357 titled 'CAMERA INITIALIZATION FOR REDUCED LATENCY

Simplified Explanation

The patent application is for predictive camera initialization, where a method is used to classify a scene based on image data, predict a camera use event, and adjust the power mode of image capture devices accordingly.

  • The method involves obtaining image data from a first image capture device.
  • The scene is classified based on the image data.
  • A camera use event is predicted based on the classification of the scene.
  • The power mode of at least one image capture device is adjusted based on the predicted camera use event.

Potential Applications

This technology could be applied in:

  • Surveillance systems
  • Autonomous vehicles
  • Photography equipment

Problems Solved

This technology helps in:

  • Optimizing power consumption of image capture devices
  • Improving efficiency in camera usage
  • Enhancing user experience in various applications

Benefits

The benefits of this technology include:

  • Increased battery life for image capture devices
  • Enhanced performance in capturing scenes
  • Customized power management based on scene classification

Potential Commercial Applications

The potential commercial applications of this technology include:

  • Security camera systems
  • Drone technology
  • Professional photography equipment

Possible Prior Art

One possible prior art could be the use of motion sensors to activate cameras in surveillance systems.

Unanswered Questions

How does the method classify different types of scenes accurately?

The method likely uses machine learning algorithms to analyze patterns in the image data and classify scenes based on predefined criteria.

What impact does adjusting the power mode of image capture devices have on overall system performance?

Adjusting the power mode can potentially improve battery life and optimize resource allocation, leading to more efficient camera usage.


Original Abstract Submitted

systems, methods, and non-transitory media are provided for predictive camera initialization. an example method can include obtain, from a first image capture device, image data depicting a scene; classify the scene based on the image data; based on the classification of the scene, predict a camera use event; and based on the predicted camera use event, adjust a power mode of at least one of the first image capture device and a second image capture device.