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 owner is away, making them vulnerable to theft, 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, and speaker, capable of reading non-fungible tokens (NFTs) or images associated with NFTs to authenticate and unlock electronic locks, and can coordinate with other devices such as robots and drones to monitor and secure access points, detect unauthorized individuals, and capture evidence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If packages are delivered to residences while the owner is away, then delivery convenience is improved, but security vulnerability increases leading to package theft
Solution Approach 1:
The patent introduces an artificial intelligence agent as an intermediary between the package delivery system and the residence owner. This AI agent acts as a virtual presence that can receive packages, store them securely, and manage access to the residence even when the owner is absent, thereby eliminating the security vulnerability while maintaining delivery convenience
Solution Approach 2:
The AI agent is designed to autonomously perform tasks such as receiving packages, identifying recipients through image recognition, storing packages in secure locations, and notifying owners without requiring direct human intervention. This self-service capability allows the system to handle deliveries securely even when no one is present at the residence
2Reliability
If AI agents are deployed to manage entries and monitor activities, then security and monitoring capabilities are improved, but system complexity increases
Solution Approach 1:
The AI agent is designed as a universal system that performs multiple functions including package reception, recipient identification through image recognition, access control, security monitoring, and communication with owners. By consolidating these diverse functions into a single multi-functional agent, the system achieves high reliability without proportionally increasing complexity
Solution Approach 2:
The system incorporates feedback mechanisms where the AI agent continuously monitors its environment, receives notifications from security devices and package delivery systems, processes this information through image recognition and analysis, and adjusts its behavior accordingly. This closed-loop feedback system enhances security reliability while managing complexity through automated decision-making
Data Source
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.