Camera Motion Area Detection Sensor Video Compression
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Solution Overview
Problem
Existing cameras require significant computation time to compress video data, leading to unstable transmission and increased restoration time, especially in applications like surveillance where live-view video streaming may be delayed due to buffering.
Innovation Solution
A camera equipped with a motion area detection sensor that uses radio frequency electromagnetic waves to identify motion in divided areas, generating motion information data to guide the compression of image frame data, thereby reducing the need for extensive frame analysis and prediction, and enabling faster compression without expanding data size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video data is compressed using traditional frame analysis and motion prediction methods, then compression quality is improved, but compression time increases significantly
Solution Approach 1:
The patent divides the video compression process into two independent parts: motion detection (using sensor to identify moving objects) and frame compression (compressing only frames containing motion). This segmentation allows the system to avoid comprehensive analysis of all frames, significantly reducing compression time while maintaining quality for relevant frames.
Solution Approach 2:
The patent performs motion detection using sensors before the compression process. By preliminarily identifying which frames contain motion, the system can skip detailed analysis of static frames and directly compress only the necessary frames, reducing overall compression time while preserving compression quality for important content.
2Manufacturing precision
If comprehensive frame analysis is performed to predict image motion, then compression accuracy is improved, but transmission stability deteriorates
Solution Approach 1:
The patent extracts the motion detection function from the main compression process and implements it using separate sensors. This extraction allows the system to obtain motion information quickly without performing comprehensive frame analysis, enabling faster compression with adequate accuracy while improving transmission stability through reduced processing time.
3Measurement precision
If motion prediction is performed by analyzing all image frame data, then prediction accuracy is improved, but restoration time increases
Solution Approach 1:
The patent segments the video data processing by using sensors to identify only frames containing motion. This allows the system to skip restoration processing for static frames and focus computational resources only on frames with motion, significantly reducing restoration time while maintaining prediction accuracy for relevant content.
Solution Approach 2:
The patent applies partial action by performing comprehensive motion prediction only on frames identified as containing motion, rather than analyzing all frames. This selective approach reduces restoration time significantly while maintaining sufficient prediction accuracy for frames that actually contain relevant motion information.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for stable streaming of compressed video data, reduces compression and restoration times, and enables live-view video streaming without buffering, as only motion-related data is compressed, minimizing encoding and decoding operations.
Implementation Method 1
receive reflected wave signals by emitting radio frequency electromagnetic wave beam to each of divided areas set in a target capture region
Implementation Method 2
determine whether motion has occurred in each of the divided areas depending on changes of reflection speed of each of the received reflected wave signals
Data Source
AI summary
Provided is a camera. The camera further includes a motion area detection sensor that is configured to receive reflected wave signals by emitting radio frequency electromagnetic wave beam to each of divided areas set in a target capture region, determine whether motion has occurred in each of the divided areas depending on changes of reflection speed of each of the received reflected wave signals, generate motion information data based on the determination result, and input the motion information data into the controller. The controller is configured to compress a series of image frame data from the capturing unit according to the motion information data from the motion area detection sensor.