18519683. ELECTRONIC DEVICE COMPRISING IMAGE SENSOR AND DYNAMIC VISION SENSOR, AND OPERATING METHOD THEREFOR simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 ELECTRONIC DEVICE COMPRISING IMAGE SENSOR AND DYNAMIC VISION SENSOR, AND OPERATING METHOD THEREFOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ELECTRONIC DEVICE COMPRISING IMAGE SENSOR AND DYNAMIC VISION SENSOR, AND OPERATING METHOD THEREFOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ELECTRONIC DEVICE COMPRISING IMAGE SENSOR AND DYNAMIC VISION SENSOR, AND OPERATING METHOD THEREFOR
Organization Name
Inventor(s)
Jongwoon Jang of Gyeonggi-do (KR)
Jinhyun Kim of Gyeonggi-do (KR)
Sungoh Kim of Gyeonggi-do (KR)
ELECTRONIC DEVICE COMPRISING IMAGE SENSOR AND DYNAMIC VISION SENSOR, AND OPERATING METHOD THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18519683 titled 'ELECTRONIC DEVICE COMPRISING IMAGE SENSOR AND DYNAMIC VISION SENSOR, AND OPERATING METHOD THEREFOR
Simplified Explanation
An electronic device described in the patent application includes an image sensor, a dynamic vision sensor (DVS), and at least one processor connected to both sensors. The processor captures video using the image sensor, calculates the speed of a moving subject using the DVS, adjusts the frame rate of the image sensor based on the subject's speed, controls the output of the image sensor to capture multiple frames of the subject, and creates a hyperlapse video from the captured frames.
- Image sensor
- Dynamic vision sensor (DVS)
- Processor
- Video shooting
- Moving speed determination
- Frame rate adjustment
- Hyperlapse video creation
Potential Applications
This technology could be used in various applications such as:
- Sports analysis
- Surveillance systems
- Traffic monitoring
- Wildlife observation
Problems Solved
This technology solves the following problems:
- Capturing high-speed moving subjects accurately
- Creating hyperlapse videos efficiently
- Adjusting frame rates dynamically based on subject speed
Benefits
The benefits of this technology include:
- Improved video quality
- Enhanced accuracy in capturing moving subjects
- Efficient hyperlapse video creation process
Potential Commercial Applications
The potential commercial applications of this technology could include:
- Camera systems for sports events
- Security camera systems
- Wildlife monitoring devices
- Action cameras for outdoor activities
Possible Prior Art
One possible prior art for this technology could be the use of image sensors and processors in surveillance cameras to track moving objects and adjust frame rates accordingly.
Unanswered Questions
How does this technology impact battery life in electronic devices?
The patent application does not provide information on the impact of this technology on the battery life of electronic devices. It would be important to understand if the increased processing requirements affect the overall battery performance.
Are there any limitations to the speed detection accuracy of the dynamic vision sensor (DVS)?
The patent application does not address any potential limitations or challenges related to the accuracy of speed detection using the dynamic vision sensor. It would be crucial to know if there are any factors that could affect the precision of speed calculations.
Original Abstract Submitted
An electronic device includes an image sensor; a dynamic vision sensor (DVS); and at least one processor electrically connected to the image sensor and the DVS. The at least one processor shoots video by using the image sensor, determines the moving speed of a subject by using the DVS during the video shooting, determines the frame rate of the image sensor on the basis of the moving speed, controls that the image sensor outputs, on the basis of the frame rate, a plurality of image frames including the subject, and acquires a hyperlapse video on the basis of the plurality of image frames.
