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

2.1 Hardware Platform Categories: The Baseline

Table 2-1 TI Sitara Processors HMI Tiers
TI Sitara HMI TierDevicesCPU3D GPU / VideoNPUDisplayUI Constraints
High tierAM67AUp to Quad Cortex-A533D GPU

up to 50 GFLOPS

and video codec

Up to 4 TOPSTriple display supportCapable of rich multi-display UIs with realistic bandwidth expectations; AI integration and a higher power budget can be available depending on device.
AM67N/A
AM62PN/A
Mid tierAM62Up to Quad Cortex-A533D GPU

up to 8 GFLOPS

N/ADual display supportGood CPU/RAM headroom with entry-level 3D hardware acceleration. AI integration can be available depending on device.
AM62AN/AUp to 2 TOPSSingle display support
Low tierAM62LUp to Dual Cortex-A53N/AN/ASingle display supportDeployed in highly cost-sensitive products where software efficiency is essential to keep the BOM low.
AM335Single Cortex-A83D GPU

up to 1.6 GFLOPS

N/ASingle display support
Note: Suitability depends on the actual memory configuration, graphics driver, Linux/RTOS stack, display topology, application complexity and measured behavior on target hardware. This table is a selection guide, not a support or performance guarantee.