AI Entry Management for Package Security and Access Control
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Solution Overview
Problem
Existing security systems lack effective solutions for managing entry and securing delivered packages, particularly when left unattended at residences.
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 authorize access and integrate with network devices for enhanced security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security systems are used, then basic monitoring is provided, but effective package security and automated entry management are lacking
Solution Approach 1:
The patent combines multiple security functions (camera monitoring, electronic lock control, package detection, geofencing) into a single integrated entry management system. The doorbell device serves as a central hub that coordinates with the electronic lock, cameras, and mobile application to provide comprehensive security and automated package management, eliminating the need for separate systems for each function.
Solution Approach 2:
The entry management system is designed to perform multiple functions through a single integrated platform: it provides visitor monitoring via camera, automated entry control through electronic lock integration, package delivery detection and alerts, geofencing capabilities, and two-way audio communication. This multi-functional approach enhances reliability for package security while managing system complexity through unified architecture.
2Extent of automation
If manual entry management is used, then basic access control is provided, but automated security responses and enhanced monitoring are not achieved
Solution Approach 1:
The system performs preliminary actions by pre-establishing geofences around delivery locations and pre-configuring automated responses. When a recognized device enters the geofence, the system automatically triggers notifications and monitoring without requiring real-time user intervention. The electronic lock is pre-programmed with access codes and the system proactively monitors for package delivery events before they occur.
Solution Approach 2:
The system implements continuous feedback loops where the camera and motion sensors monitor the environment, the system processes this data to detect package deliveries or unauthorized access attempts, and automatically responds by sending alerts to the mobile application. This automated feedback mechanism enables high-level automation while maintaining ease of operation through minimal required user interaction.
3Difficulty of detecting and measuring
If comprehensive monitoring is implemented, then security detection capability is improved, but system resource consumption increases
Solution Approach 1:
The system employs periodic monitoring rather than continuous recording, activating the camera and sensors at scheduled intervals or triggered by motion detection events. The geofence monitoring operates periodically by checking device locations at set intervals. This periodic action maintains effective detection of unauthorized access while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system uses the existing location services and communication capabilities of users' mobile devices to perform geofence detection and notification delivery. Rather than requiring dedicated high-power sensors and communication hardware in the doorbell device, the system leverages the self-service capabilities of already-powered mobile devices to extend monitoring coverage and reduce the energy burden on the main security device.
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.