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

2.2.6 Texas Instruments AM67A Platform

  • Architecture: Quad Cortex-A53 up to 1.4GHz plus two independent Cortex-R5F cores at 800MHz. The device includes two deep-learning accelerators up to 4 TOPS to support AI capabilities.
  • Graphics & Display: Imagination BXS-4-64 GPU with 2D/3D acceleration; triple display support over LVDS, DSI, or DPI up to 3840 × 1080 at 60fps. This device also has H.264/H.265 4K UHD video capability.
Note: KDAB's Perspective: The Total Cost of Ownership Equation

In architectural reviews we frequently see teams selecting a UI framework on developer familiarity alone (for example, web technologies or Flutter), only to discover late that the framework needs substantially more memory to run smoothly. Upgrading from a low-cost processor configuration to a higher-end configuration to absorb software overhead can destroy the margin of the product. Hardware and UI software must be selected symbiotically.