Activity Zone Video Filtering for Smart Camera Alerts
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Solution Overview
Problem
Users of cameras, especially those embedded in smart devices, often receive irrelevant notifications due to motion detection in public spaces or neighboring areas, leading to a high volume of non-relevant alerts.
Innovation Solution
Implementing activity zones and exclusion zones within the camera's view allows for selective notification triggering, where only motion within designated areas of interest generates alerts, reducing unnecessary notifications by using object detection algorithms and neural networks to identify and filter out irrelevant objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion detection is enabled in the entire camera view, then security monitoring coverage is improved, but the number of irrelevant notifications increases
Solution Approach 1:
The camera view is divided into multiple activity zones, each with different notification settings. This segmentation allows the system to monitor the entire view while only generating notifications for specific zones, resolving the contradiction between comprehensive monitoring and notification volume.
Solution Approach 2:
Different zones are assigned different qualities or priorities. High-priority zones generate notifications while low-priority zones do not, allowing the system to maintain comprehensive monitoring coverage while selectively reducing notifications from less important areas.
2Loss of information
If activity zones are implemented to reduce irrelevant notifications, then notification relevance is improved, but device complexity increases
Solution Approach 1:
The system provides dynamic configuration of activity zones through a user interface, allowing users to easily adjust zone boundaries and priorities without programming. This makes the complex zone-based system adaptable to user needs while maintaining ease of operation.
Solution Approach 2:
The system automatically processes video feeds against defined activity zones and generates notifications based on detected motion within those zones, eliminating the need for manual review and reducing the burden on users while maintaining high notification relevance.
3Measurement precision
If multiple activity zones are monitored, then monitoring precision is improved, but processing time increases
Solution Approach 1:
The video feed is processed independently for each activity zone rather than analyzing the entire view as one unit. This segmentation of processing reduces the computational burden per zone while maintaining precise motion detection within each zone.
Solution Approach 2:
The system focuses processing resources only on areas where motion is detected within activity zones, rather than continuously processing the entire video feed. This partial action approach maintains detection precision while reducing overall processing time and resource consumption.
Data Source
AI summary
Methods and systems are provided for establishing an activity zone within video captured by a camera. A user device may establish an activity zone or an exclusion zone within video representing a physical view captured by the camera. An automatic monitoring system may analyze the video of the camera with respect to the activity zone or exclusion zone and trigger notifications that are associated with a zone so as to limit notifications transmitted to the user device to those notifications that are relevant to the user. With activity or exclusion zones video from a camera may be automatically monitored to reduce a volume of notifications transmitted to the user device.