AI Entry Management System for Package Theft Prevention

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Solution Overview

Problem

The increasing trend of online shopping leads to packages being delivered to residences while the purchaser is away, making them vulnerable to theft and resulting in significant financial losses for both consumers and retailers.

Innovation Solution

An artificial intelligence (AI) entry management (EM) system that includes a camera, microphone, motion detector, speaker, and electronic lock, integrated with a software platform for geofencing, voice recognition, and communication with other network devices to secure and manage access points, monitor packages, and alert authorities if necessary.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If packages are delivered to residences while the purchaser is away, then delivery convenience is improved, but package security deteriorates leading to theft vulnerability

Engineering Contradiction:
Improvedelivery convenienceVSAvoidpackage security
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent introduces an intermediary secured location (such as a locked container or storage area) between the delivery point and the purchaser. This intermediary structure allows packages to be delivered securely while the purchaser is away, maintaining both delivery convenience and package security. The intermediary acts as a temporary holding point that prevents theft while enabling convenient delivery timing.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If remote monitoring and control systems are implemented, then security is enhanced, but device complexity increases

Engineering Contradiction:
ImprovesecurityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements multi-functional devices that combine security monitoring, access control, and communication capabilities in single integrated units. For example, a smart lock system that simultaneously provides locking mechanisms, biometric authentication, remote control functionality, and alert notification. This universality approach enhances security while minimizing the number of separate devices needed, thereby reducing overall system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If geofencing and automated alert systems are deployed, then package theft is reduced, but loss of time in system setup and maintenance increases

Engineering Contradiction:
Improvetheft preventionVSAvoidsystem configuration time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements self-configuring security systems that automatically detect and adapt to their environment. For example, geofencing boundaries are automatically established based on the property address and surrounding landmarks, eliminating manual configuration. The system performs self-testing and automatic updates, reducing the time required for setup and maintenance while maintaining effective theft prevention capabilities.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11398120B2Security surveillance and entry management system
Publication Date: 2022.07.26 1AHEAD TECH
  • US11398120B2 patent drawing
  • US11398120B2 patent drawing
  • US11398120B2 patent drawing

AI summary

An artificial intelligence (AI) entry management (EM) security system includes a camera, a microphone, a motion detector, a speaker, and a software platform. Geofences are utilized to create boundaries around physical areas, such as locations for package delivery or property boundaries. The EM device and other devices connected to the software platform are configured to monitor the geofences and detect a presence of an activity, an event, an object, or a device. At least one license plate reader is utilized to read license plate characters. Voice recognition and voice identification are used to grant or deny permissions for individuals on a property.