AI Entry Management for Package and Visitor Authentication
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Solution Overview
Problem
Existing security systems fail to effectively secure delivered packages when recipients are not home, leading to high rates of theft.
Innovation Solution
An AI-powered entry management system with a camera, microphone, and electronic lock that processes visual and audio data to authenticate authorized individuals or packages, controlling access points and activating network devices for enhanced security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security systems are used without AI processing, then device complexity is reduced, but security effectiveness deteriorates due to inability to authenticate packages and authorized individuals
Solution Approach 1:
The patent introduces an AI processing system as an intermediary between the camera/microphone sensors and the access control decision-making. This AI intermediary processes visual and audio data to authenticate both authorized individuals and packages, resolving the technical contradiction by adding intelligence without requiring complete system redesign. The AI acts as a mediator that translates raw sensor data into security decisions.
Solution Approach 2:
The entry management device is designed with multi-functionality, serving as camera, microphone, AI processor, and access control interface all in one device. This universal device handles both individual authentication and package authentication, improving security effectiveness while managing complexity through consolidation rather than proliferation of separate systems.
2Measurement precision
If AI processing of visual and audio data is implemented, then authentication accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing authorized individual profiles and package identification criteria before authentication is needed. The AI processing is optimized to compare real-time visual and audio data against pre-loaded reference data, reducing processing time during actual authentication while maintaining high accuracy.
Solution Approach 2:
The AI processing implements partial action by focusing computational resources on the most critical authentication features first. The system processes visual data for package authentication and audio/visual data for individual authentication selectively, rather than analyzing all possible data elements equally, thus reducing processing time while maintaining sufficient accuracy.
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.