Cloud Access Control via Beacon and Rules Engine
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Solution Overview
Problem
In multifamily housing and complex rentable properties, existing access control systems face challenges in managing access rights and preventing unauthorized access, especially in scenarios involving multiple users and varying access permissions.
Innovation Solution
A cloud-based access control system that utilizes a database to manage access points and user datasets, incorporating a processor and rules engine to grant or deny access based on user identifying information, beacon signals, and access permissions, with features like machine learning for identity verification and automated access management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional access control systems are used in multifamily housing, then basic access management is possible, but the system becomes increasingly complex and difficult to manage with multiple users and varying access permissions
Solution Approach 1:
The patent segments the access control system into distinct functional modules: user profile management, access rule definition, credential generation, and access verification. Each module handles specific aspects of access control independently, allowing the system to manage complex multi-user scenarios without becoming unmanageably complicated. The system divides access permissions into hierarchical levels (building-level, unit-level, common-area access) that can be independently configured.
Solution Approach 2:
The access control system is designed to universally handle multiple types of users (residents, guests, maintenance personnel, property managers) and multiple access scenarios (entry/exit, common areas, individual units) through a single integrated platform. The system provides multi-functionality by supporting various credential types (mobile devices, keycards, biometrics) and access methods (manual approval, automated rules, emergency access) within one system architecture.
2Reliability
If manual access control methods are used, then system simplicity is maintained, but unauthorized access and security breaches increase
Solution Approach 1:
The system implements continuous feedback loops where access attempts are monitored, verified against defined rules, and logged for audit purposes. The system provides real-time feedback to users about access status and to property managers about access events. Automated rule engines continuously evaluate access requests against current conditions (lease status, authorization levels, time restrictions) and provide immediate approval or denial decisions, enhancing security through consistent rule enforcement.
Solution Approach 2:
The system enables self-service capabilities where residents can independently manage their own access credentials, invite guests, and update their information without requiring manual intervention from property management. The automated rule engine provides self-service by automatically evaluating access requests and making authorization decisions based on pre-configured criteria, reducing the need for human oversight while maintaining high security standards.
3Productivity
If automated access rules are implemented, then access control efficiency is improved, but the system requires sophisticated rule engines and processing capabilities
Solution Approach 1:
The system performs preliminary actions by pre-configuring access rules, user profiles, and authorization hierarchies before access events occur. Property managers establish comprehensive access policies in advance that define who can access what, when, and under what conditions. The system pre-generates credentials and pre-evaluates access scenarios, so that when actual access requests occur, decisions can be made rapidly based on pre-computed rules rather than requiring complex real-time analysis.
Data Source
AI summary
Systems and methods herein provide for cloud-controlled access to an access point. A database maintains a plurality of user datasets and accounts for a plurality of access point management systems. Each account of the access point management systems includes identifies one or more access points associated with a property. Each user dataset includes user identifying information and user access information to one or more access points. A processor processes a request for access to the first access point. A rules engine accesses the database to identify a first user based on the request and a user equipment (UE) of the first user via the user identifying information, identifies a first of the access points based on a beacon transmitted by the first access point, retrieves the user access information, identifies access permission of the first user to the first access point, and grants access to the first user.