Headstart Your Development: The EP-200Q Edge AI Experience

The EP-200Q-EVK, built on the Qualcomm® QCS6490 platform, provides a powerful and streamlined pathway to bring edge AI concepts to life. By aligning hardware capabilities with optimized data strategies and robust MLOps workflows, you can rapidly move from experimentation to production-ready solutions

What You’ll Discover in This Guide:

• The Prototyping Workflow: A practical, step-by-step example of developing a custom machine vision application, from data collection to final deployment.
  
  
• In-Situ Data Strategies: Guidance on capturing high-quality data directly from on-device sensors in real-world environments to ensure model robustness.
  
  
• AI-Assisted Labeling: Insights into using automated object tracking and pre-trained models to drastically reduce the time and effort required for data preparation.
  
  
• Hardware-Aware Optimization: A deep dive into choosing pre-optimized architectures like FOMO and YOLO-Pro to balance accuracy and latency for edge constraints.
  
  
• NPU Acceleration Roadmap: Instructions on deploying quantized models via Qualcomm QNN to unlock the full computational power of the device’s dedicated NPU.

Who Should Download this Edge AI Guide?

• Embedded & Robotics Engineering: Learn how to integrate a camera-equipped EP-200Q-EVK with standard peripherals like robotic arms for functional automation.
  
  
• AI Vision & Systems Integration: Evaluate real-world performance metrics, including on-device inference latency and memory usage, before physical deployment.
• Software & Application Development: Understand the closed-loop MLOps lifecycle to continuously monitor, retrain, and maintain model accuracy over time.
  
  

Download the EP-200Q Edge AI Getting Started Guide to see exactly how this ecosystem accelerates your journey from Proof of Concept to scalable edge products.