AI Entry Management for Package Theft Prevention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing security management systems lack the capability to efficiently manage and secure delivered packages, leading to a high risk of theft and financial loss.
Innovation Solution
An AI-powered entry management system that includes a device with a camera, microphone, and electronic lock, capable of processing visual and audio data to authenticate authorized images or sounds, and controlling network devices such as drones or robots to monitor and secure packages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security systems are used without AI capabilities, then device complexity is reduced, but the ability to detect and respond to security threats is insufficient
Solution Approach 1:
The patent replaces traditional mechanical security systems with AI-powered electronic systems. The AI device uses machine learning models to process visual and audio data, automatically detecting security threats and triggering appropriate responses. This substitution enables sophisticated threat detection and response capabilities while maintaining system manageability through automated decision-making algorithms.
Solution Approach 2:
The AI device operates autonomously by self-analyzing captured data and making decisions without constant human intervention. The system automatically processes visual and audio inputs, identifies security threats, and triggers appropriate responses such as unlocking access points or activating alarms, thereby reducing the need for manual security monitoring while enhancing reliability.
2Measurement precision
If AI processing is implemented to authenticate users and monitor packages, then security detection capability is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and analyzing data in real-time as it is captured. The AI device continuously monitors the environment and pre-identifies potential security threats before they materialize, allowing for faster response times. User authentication data is processed and verified in advance, enabling quick access decisions without delaying the actual authentication process.
Solution Approach 2:
The AI system rapidly processes authentication and monitoring data by skipping unnecessary computational steps. The machine learning models are optimized to quickly analyze visual and audio inputs, making fast authentication decisions and threat assessments. This rushing through of critical data processing enables high accuracy authentication while minimizing the time lost to computation.
3Area of stationary object
If multiple network devices are deployed for comprehensive monitoring, then coverage area is expanded, but system coordination and control complexity increases
Solution Approach 1:
The AI device serves multiple functions within a single integrated system. It performs user authentication, package monitoring, threat detection, and coordination of access point control all through one centralized AI processor. This multi-functionality expands the effective coverage and capabilities without proportionally increasing system coordination complexity, as the single AI device manages all these tasks autonomously.
Solution Approach 2:
The patent merges multiple security functions and device controls into a single integrated AI system. The AI device combines user authentication, package monitoring, threat detection, and access point control into one unified platform. This merging reduces coordination complexity by eliminating the need to manage separate systems, while still providing comprehensive monitoring coverage through the integrated device's multiple capabilities.
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.


