A/V Device Footage Sharing via Annotated Video Analysis
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Solution Overview
Problem
Audio/video (A/V) recording and communication devices, such as doorbells, often limit video footage accessibility to the owner, hindering crime prevention and community safety, as they do not facilitate easy sharing with neighbors or users without such devices, and lack features for annotating and uploading footage with contextual comments.
Innovation Solution
A network system that allows A/V recording and communication devices to receive, analyze, and share image data with textual messages, enabling users to annotate and upload video footage, and request additional data from other devices for matching entities of interest, promoting neighborhood safety through a platform that integrates facial recognition, color matching, and body build scoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video footage is restricted to owner-only access, then device security and privacy are improved, but community safety and crime prevention capabilities deteriorate
Solution Approach 1:
The system segments video footage access rights into different levels: owner-only access, neighbor access within defined geographic areas, and law enforcement access. This allows the system to provide restricted access for privacy protection while enabling broader access for community safety purposes through the sharing platform.
Solution Approach 2:
The patent introduces a cloud-based platform as an intermediary that mediates between device owners and potential viewers. The platform handles authentication, authorization, and secure transmission of video footage, allowing owners to maintain control while enabling community safety initiatives through controlled sharing.
2Adaptability or versatility
If video sharing is enabled across the network, then community awareness and crime pattern recognition are improved, but data privacy and unauthorized access risks worsen
Solution Approach 1:
The system performs preliminary actions by establishing geographic area definitions and access permissions before any video sharing occurs. Owners pre-configure which geographic areas their video can be shared with and what types of entities (neighbors, law enforcement) can access it, preventing unauthorized access while enabling community awareness.
Solution Approach 2:
The system implements feedback mechanisms where device owners receive notifications when their video footage is accessed or shared, and can review and manage access permissions. This feedback loop allows owners to maintain control over their data while the system provides community safety benefits through monitored sharing.
3Loss of information
If manual annotation and uploading of video footage is required, then data accuracy and contextual information are improved, but user effort and time consumption worsen
Solution Approach 1:
The system implements self-service by automatically analyzing video footage for entities of interest (people, vehicles, objects) and generating annotations without requiring manual user input. The automated entity recognition and annotation features provide contextual information while minimizing user effort and time consumption.
Solution Approach 2:
The patent replaces manual mechanical annotation processes with automated computer vision and machine learning systems. These systems automatically detect, track, and annotate entities in video footage, substituting human labor with automated technological processes that provide accurate contextual information efficiently.
4Measurement precision
If multiple data sources are integrated for entity matching, then identification accuracy and crime tracking are improved, but system complexity and computational requirements worsen
Solution Approach 1:
The system implements multi-functionality by using a single integrated platform that handles multiple data sources (video footage from different devices, images, descriptions), entity recognition, matching, and tracking. This universal system performs multiple functions through unified architecture, improving identification accuracy while managing complexity through consolidation rather than proliferation of separate systems.
Data Source
AI summary
Systems and methods for augmenting and sharing data from audio/video (A/V) recording and communication devices are provided. In one embodiment, a method may include receiving, from an A/V recording and communication device, image data representing an image, analyzing the image data to determine one or more objects depicted by the image data, based on the analyzing the image data, determining at least one comment associated with the one or more objects; transmitting, to a first client device associated with the A/V recording and communication device, the image data representing the image and the at least one comment, receiving, from the first client device, consent for sharing the image data with a geographic area network, the consent indicating a selection of a comment from the at least one comment, and transmitting, to a second client device, the image data representing the image and the comment.