Package Monitoring With Motion-Triggered Delivery Zone Verification
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Solution Overview
Problem
Existing package monitoring systems inefficiently utilize computing and network resources due to continuous video capture and indiscriminate notifications, leaving packages vulnerable to theft or damage, especially when multiple cameras are used.
Innovation Solution
A Package Monitoring Application (PMA) transitions package monitoring operations from delivery platforms to customer's camera systems, selectively detecting and verifying package movements, sending relevant notifications, and conserving resources by localizing processing to the package's region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous video capture is used to monitor packages, then package security monitoring is improved, but computing and network resources are inefficiently utilized
Solution Approach 1:
The system transitions from continuous video capture to periodic motion-triggered capture. Cameras capture video only when motion is detected, and the system periodically checks for motion events. This periodic action maintains security monitoring reliability while dramatically reducing computing and network resource consumption by avoiding continuous processing and transmission of static footage.
Solution Approach 2:
The system extracts only the relevant portions of video data - specifically segments containing detected motion - and transmits only these extracted portions to user devices. This extraction principle separates useful information (motion-related package events) from irrelevant data (static or unrelated motion), reducing network bandwidth consumption and processing requirements while maintaining effective package monitoring.
2Reliability
If motion detection notifications are sent for any detected movement, then package monitoring coverage is improved, but resource utilization deteriorates due to irrelevant notifications
Solution Approach 1:
The system extracts and transmits only video segments that contain detected motion events, separating relevant package-related footage from irrelevant static or unrelated motion. This extraction approach maintains comprehensive monitoring coverage while improving resource utilization by avoiding transmission and processing of unnecessary video data.
Solution Approach 2:
The system captures and transmits video segments that may include some excessive or potentially irrelevant motion events, ensuring no package-related events are missed. This partial action approach prioritizes monitoring coverage over perfect filtering efficiency, accepting some resource overhead to guarantee that all package events are captured and can be reviewed by users.
3Reliability
If multiple cameras are deployed to monitor different angles, then package monitoring completeness is improved, but resource consumption is amplified
Solution Approach 1:
The system extracts motion events from multiple camera feeds and processes only the relevant segments from each camera. By applying motion detection and selective extraction to each camera independently, the system maintains complete multi-angle monitoring coverage while reducing overall resource consumption compared to continuous processing of all camera feeds.
Solution Approach 2:
The monitoring system segments the surveillance task by camera feed, with each camera independently detecting motion and triggering selective video capture. This segmentation allows parallel processing of multiple camera streams while maintaining resource efficiency through motion-based triggering, rather than continuously processing all cameras simultaneously.
4Measurement precision
If users review recorded footage to find relevant activity, then monitoring accuracy is improved, but time and computing resources are wasted
Solution Approach 1:
The system performs preliminary motion detection and video segment extraction before user review. By pre-processing the video data to identify and extract only motion-containing segments, the system prepares the relevant information in advance, eliminating the need for users to manually review entire recorded footage and reducing both user time investment and subsequent computing resources required for analysis.
Solution Approach 2:
The system extracts and presents only the relevant video segments containing motion events to users, removing irrelevant static or unrelated footage. This extraction maintains monitoring accuracy by ensuring all package-related events are captured while dramatically reducing the time and computing resources users would otherwise spend reviewing unnecessary footage.
Data Source
AI summary
Systems and methods of monitoring packages starting from a point of shipment from a warehouse, to delivery at a delivery address, and up to or through a post-delivery event affecting the packages are disclosed. At a first platform associated with a camera located at the delivery address of the package, the package is determined to be delivered at a designated drop-off area associated with the delivery address. Based on determining that the package has been delivered, the designated drop-off area is monitored for movement in relation to the package. Based on detecting movement in the designated drop-off area, a determination is made as to whether the movement is associated with an authorized user or an unauthorized user. Based on determining that the movement is associated with an unauthorized user, an action is performed to address the movement of the unauthorized user in relation to the package.