Object Detection Engine Pauses Video Transmission
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Solution Overview
Problem
Current home security systems with IP cameras face bandwidth exhaustion due to high resolution video demands, leading to inefficient use of network resources and frequent false alarms, despite advancements in video compression techniques.
Innovation Solution
An image processing method that integrates an object detection engine with the image signal processing pipeline to detect and track individuals, allowing for selective video transmission based on movement, altering the video by zooming, cropping, or blurring to reduce bandwidth requirements, and prioritizing critical information transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution video is transmitted continuously, then monitoring quality is improved, but bandwidth consumption increases
Solution Approach 1:
The system transmits video data periodically based on motion detection events rather than continuously. When motion is detected by the processor, video data is captured and transmitted; when no motion is detected, transmission is paused. This periodic transmission based on detected events resolves the contradiction by maintaining monitoring quality only when necessary while significantly reducing bandwidth consumption during normal conditions.
2Loss of energy
If motion detection is used to trigger video transmission, then bandwidth usage is reduced, but false alarms increase
Solution Approach 1:
The system performs preliminary analysis of motion patterns before triggering video transmission. The processor analyzes detected motion to determine if it represents a genuine security event or a false alarm condition. This preliminary action filters out spurious triggers while maintaining sensitivity to real threats, thus reducing false alarms while preserving bandwidth efficiency.
Solution Approach 2:
The system uses feedback from motion detection results to adjust transmission behavior. When motion is detected, the system evaluates the nature and characteristics of the motion before deciding whether to transmit video data. This feedback mechanism allows the system to learn from previous detections and improve its ability to distinguish between genuine events and false alarms, maintaining low bandwidth usage while improving reliability.
3Loss of energy
If video transmission is paused when no motion is detected, then bandwidth is conserved, but response time to actual threats may increase
Solution Approach 1:
The system maintains a ready state where the image sensor and processor are continuously monitoring for motion events, even when video transmission is paused. This preliminary monitoring ensures that when motion is detected, the system can immediately capture and transmit video data without delay. The preliminary detection capability preserves rapid response time to threats while allowing bandwidth conservation during normal periods.
Data Source
AI summary
An image processing method is provided. The method includes acquiring a video. The method includes using an object detection engine to detect a person in the video. The object detection engine is integrated with an image signal processing pipeline. The method includes transmitting the video over a network. The method includes determining that the detected person has moved less than a pre-set distance. The method includes, responsive to the determining, pausing transmission of the video. An embedded image processor including an object detection engine is also provided.