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Development of an IoT Self-Serve Beverage Kiosk with Facial Recognition Integration
  1. case
  2. Development of an IoT Self-Serve Beverage Kiosk with Facial Recognition Integration

Development of an IoT Self-Serve Beverage Kiosk with Facial Recognition Integration

verytechnology.com
Food & Beverage
Consumer products & services

Identified Challenges in Traditional Beverage Service Models

The client faces challenges with crowded environments, inefficient serving processes, and the limitations of inflexible third-party hardware/software components. Existing hardware is limited in capacity, non-customizable, and difficult to scale, leading to operational bottlenecks and restricted growth opportunities.

About the Client

A technology-driven beverage service provider seeking to deploy an automated self-serve kiosk system that uses facial recognition for user identification and transaction automation.

Goals for Implementing an Advanced IoT Beer Kiosk System

  • Enhance user experience by enabling quick, automated self-service for beverages via facial recognition.
  • Increase operational scalability by upgrading hardware to manage multiple taps and improve system control.
  • Develop proprietary, configurable software that supports remote management and future expansion to other clients and markets.
  • Achieve measurable business improvements such as a targeted 100% increase in daily revenue within the first week of deployment.

Core Functionalities for the IoT Beverage Kiosk Solution

  • User onboarding with personal data entry, ID scanning, and facial reference photo capture.
  • Facial recognition module to identify returning users with a match rating system.
  • On-site review and approval interface for staff to verify recognition matches before dispensing.
  • Automated billing and transaction recording linked to user identification.
  • Hardware control system managing multiple taps (up to eight or more) with reliable performance.
  • Remote configuration and management capabilities for software updates and hardware adjustments.
  • Owns proprietary facial recognition and transaction tracking technology for customization and scalability.

Recommended Technologies and Architectural Strategies

Elixir programming language
Nerves embedded systems framework
AWS Rekognition for facial recognition
Cloud-based remote management platforms

External System Interfaces and Data Sources

  • Facial recognition cloud APIs for identification
  • Payment gateway systems for transaction processing
  • Hardware controllers for tap management
  • Remote management dashboards

Critical Non-Functional System Attributes

  • Scalability to support multiple kiosks and increased tap controls
  • High system uptime and reliability
  • Secure user data handling and compliance with privacy standards
  • Responsive remote configuration and real-time monitoring

Projected Business Benefits and Growth Potential

Implementing this IoT self-serve kiosk system is expected to significantly increase operational efficiency, improve user experience, and boost revenue with a targeted 100% increase in daily earnings within the first week of deployment. The scalable design supports expansion into multiple venues and markets, enabling sustainable growth and market differentiation.

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