Cohort Affinity Access Control for Faster Venue Check-In
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Solution Overview
Problem
The traditional process of physically checking-in to live events is time-consuming and does not guarantee preferred seating arrangements, leading to dissatisfaction among attendees.
Innovation Solution
A system and method for cohort affinity grouping that uses a processor to authenticate users, analyze social graph data, and assign access rights based on user attributes, enabling smart queues and notifications for efficient seating arrangements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional physical check-in process is used, then access control can be verified, but attendees experience long wait times and cannot guarantee preferred seating arrangements
Solution Approach 1:
The system performs preliminary actions by pre-authenticating users before they arrive at the venue. Users are authenticated remotely using their credentials (mobile devices, RFID cards, or biometric data) and are assigned to cohorts based on their attributes. This preliminary authentication and cohort assignment eliminates the need for physical check-in queues, allowing users to proceed directly to their designated seating areas upon arrival.
Solution Approach 2:
The system segments attendees into different cohorts based on their attributes (e.g., ticket type, seating preference, arrival time). Each cohort is assigned specific seating areas or entry points. This segmentation allows for parallel processing of multiple users simultaneously, as each cohort can be directed to different zones, thereby reducing overall check-in wait time and improving operational efficiency.
2Ease of operation
If mobile access rights allocation is used, then attendees can purchase access rights online, but they still have to go through time-consuming physical check-in process
Solution Approach 1:
The system enables self-service by allowing users to authenticate themselves using their own mobile devices, RFID cards, or biometric data without requiring manual verification by staff. Users simply present their credentials at the entrance, and the system automatically verifies their identity, checks their cohort assignment, and directs them to their designated seating area. This self-service approach eliminates the need for lengthy manual check-in processes while maintaining security and control.
3Productivity
If cohort affinity grouping is implemented, then seating arrangements are optimized and wait times reduced, but system complexity increases due to social graph analysis
Solution Approach 1:
The system introduces an intermediary component - a server or cloud-based platform - that handles the complex social graph analysis and cohort assignment computations. This intermediary processes user attributes, analyzes social connections, and determines optimal cohort assignments remotely. The venue's physical check-in system then only needs to verify pre-computed cohort assignments, significantly reducing on-site computational complexity while maintaining the benefits of affinity-based grouping.
Data Source
AI summary
A system that facilitates access control at venues through cohort affinity grouping. It verifies users' authenticity by comparing credentials stored in a database, then identifies related users based on social graph data, such as past attendance and social media activity. By determining correlation values among users, it forms cohorts associated with the venue's resources. Users select and join cohorts, and access rights are transmitted accordingly. A smart queue system triggers notifications for check-in, optimizing the process based on predefined intervals. Any member's check-in request triggers check-in for the entire cohort, streamlining entry. The system assigns queue numbers and notifies users of seating arrangements, fostering a cohesive user experience.