SDAA554 November   2026 AM3351 , AM3352 , AM3354 , AM3356 , AM3357 , AM3358 , AM3359 , AM623 , AM625 , AM62A3 , AM62A7 , AM62L , AM62P , AM67 , AM67A

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Understanding the Hardware Landscape and UI Implications
    1. 2.1 Hardware Platform Categories: The Baseline
    2. 2.2 Featured Platform Specifications & Architecture Context
      1. 2.2.1 Texas Instruments AM335 Platform
      2. 2.2.2 Texas Instruments AM62L Platform
      3. 2.2.3 Texas Instruments AM62A Platform
      4. 2.2.4 Texas Instruments AM62 Platform
      5. 2.2.5 Texas Instruments AM62P and AM67 Platforms
      6. 2.2.6 Texas Instruments AM67A Platform
  6. 3Technology Deep Dive: The Frameworks
    1. 3.1 Qt: Cross-Platform Application Framework
      1. 3.1.1 Technology Architecture
      2. 3.1.2 Platform Suitability & Real-World Scaling
      3. 3.1.3 The Business Case: Advantages and Challenges
    2. 3.2 Slint: The Modern Lightweight Alternative
      1. 3.2.1 Technology Architecture
      2. 3.2.2 Platform Suitability and Real-World Scaling
      3. 3.2.3 The Business Case: Advantages and Challenges
    3. 3.3 LVGL: The Microcontroller Specialist
      1. 3.3.1 Technology Architecture
      2. 3.3.2 Platform Suitability and Real-World Scaling
      3. 3.3.3 The Business Case: Advantages and Challenges
    4. 3.4 Flutter: The Mobile-First Approach
      1. 3.4.1 Technology Architecture
      2. 3.4.2 Platform Suitability and Real-World Scaling
      3. 3.4.3 The Business Case: Advantages and Challenges
    5. 3.5 Other Notable Frameworks
  7. 4The KDAB Decision Framework and Implementation Best Practices
    1. 4.1 Decision Criteria Beyond the Silicon
      1. 4.1.1 Licensing and Business Model
      2. 4.1.2 Team Expertise and Development Velocity
      3. 4.1.3 Long-Term Maintenance & Certification
    2. 4.2 Implementation Best Practices: Optimizing Performance
      1. 4.2.1 Memory and Graphics Management
      2. 4.2.2 Power Efficiency
    3. 4.3 Start-Up Time Considerations (The "Cold Boot" Problem)
    4. 4.4 Power Efficiency (Battery-Powered Devices)
    5. 4.5 Future Trends and Considerations
  8. 5Summary: TI and KDAB's Perspective
    1. 5.1 About the KDAB Group
    2. 5.2 About the Texas Instruments Sitara MPU Group
  9. 6References

4.5 Future Trends and Considerations

The embedded UI landscape continues to evolve rapidly. Periodic re-evaluation makes sure your technology choices remain optimal across long product life cycles.

  • WebAssembly and Web-Based UIs: Growing interest in deploying UIs via WebAssembly for dashboards and remote monitoring. Both Qt for WebAssembly and Slint for WebAssembly are viable paths. The trade-off remains portability vs. runtime overhead.
  • Machine Learning Integration: Modern platforms increasingly include AI accelerators, and UI frameworks are integrated with ML pipelines for gesture recognition and predictive interfaces. Qt already offers ML framework bindings.
  • The Rust Ecosystem Growth: Memory safety without garbage collection is highly attractive for embedded systems. Slint leads as a Rust-native UI framework, and Qt is actively working on experimental Rust bindings.
  • Hardware Evolution: New MCUs are approaching entry-level MPU performance, blurring the MCU/MPU boundary and enabling richer UIs on traditional MCU budgets. Vulkan adoption is growing, promising more consistent graphics APIs across vendors.