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Augmented Reality Integration for Product Promotion and Technical Infrastructure Enhancement
  1. case
  2. Augmented Reality Integration for Product Promotion and Technical Infrastructure Enhancement

Augmented Reality Integration for Product Promotion and Technical Infrastructure Enhancement

cogniteq.com
Manufacturing
Business services
Advertising & marketing

Identified Challenges in Client Engagement and Legacy System Maintenance

The client faces difficulties in effectively showcasing their products to customers, lacking interactive AR features that could enhance product understanding and engagement. Additionally, their core software system is burdened with high technical debt, leading to decreased performance and increased maintenance complexity, which hampers scalability and future development efforts.

About the Client

A mid-sized manufacturing company specializing in the production and sale of industrial equipment, seeking to improve client engagement through AR technology and optimize its internal software infrastructure.

Goals for Enhancing Product Interaction and System Optimization

  • Develop an Android-based AR application enabling users to view and interact with 3D virtual models of products from multiple angles, accompanied by detailed descriptions.
  • Implement functionalities such as capturing screenshots of AR content and reading QR codes to improve user interaction and accessibility.
  • Integrate AR features seamlessly into the existing communication channels to boost sales and client engagement.
  • Refactor and enhance the legacy core application to reduce technical debt, improve system performance (targeting a 3x increase), and strengthen overall infrastructure stability.
  • Establish a reusable app template and comprehensive test scenarios to facilitate ongoing support and future projects.

Functional System Requirements for AR Feature Integration and System Revamp

  • AR visualization module for viewing virtual 3D models of products from multiple perspectives.
  • Screenshot capture capability of AR content for sharing or documentation purposes.
  • QR code reading functionality utilizing third-party libraries and C++ integration for easy access to specific features.
  • Backend infrastructure for managing AR content, including models and descriptions.
  • Seamless WebView integration for displaying AR content with JavaScript-based rendering and matrix calculations.
  • Support for continuous integration/delivery pipelines to ensure rapid deployment and high quality.

Key Technologies and Architectural Preferences for AR Application Development

Java
Kotlin
Wikitude SDK (with C++ backend support)
WebView with JavaScript
Retrofit for API communication
Google Cloud Vision API for image processing
Dagger 2 for dependency injection
RxJava 2 for reactive programming
CI/CD tools for automated deployment

Essential External System Integrations for Functionality Support

  • Backend storage systems for AR content management
  • Third-party SDKs for QR code scanning and AR functions
  • Server-side APIs for content retrieval and synchronization
  • Cloud services for media processing and delivery

Critical Non-Functional System Attributes and Performance Metrics

  • App performance optimized to deliver AR content with at least 3x speed improvements over previous baseline.
  • High reliability with minimal bugs, supported by comprehensive unit and integration testing.
  • Scalable architecture to support an increasing user base and expanding content repository.
  • Robust security measures to protect content and user data.
  • Modular, maintainable code supporting easy updates and reuse.

Projected Business Benefits from AR and Infrastructure Optimization

The deployment of this AR-enabled application is expected to significantly enhance customer engagement through interactive product visualization, leading to increased sales growth. Technical refactoring and performance enhancements aim to reduce system maintenance efforts by minimizing technical debt, resulting in a threefold increase in app performance and increased system stability, with no issues reported in the subsequent six months post-deployment.

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