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

5.2 About the Texas Instruments Sitara MPU Group

Texas Instruments' Sitara portfolio is a family of processors designed for industrial automation, HMI, robotics, motor control, edge AI applications, etc. Built on the Arm® Cortex®-A architecture, the Sitara MPU family spans a wide range of performance tiers from entry-level, cost-optimized devices to multi-core and AI-accelerated devices. TI provides comprehensive development resources including the Processor SDK for Linux, real-time software, reference designs, evaluation modules, and a broad ecosystem of System-on-Module (SoM) and carrier-board partners to accelerate time-to-market. With decades of experience in embedded processing, TI supports product life cycles of ten years or more, giving industrial and commercial customers the confidence to build on Sitara for demanding, long-lived deployments.