Date: Wednesday, September 24th, 2025

Time: 1:45 pm - 2:25 pm

 

Learn how to use MATLAB and Simulink to simulate, optimize, and deploy deep learning models to Qualcomm® Hexagon™ NPUs and DSPs. This session walks through a smart speaker audio demo, showing how to generate hardware-ready code, run simulations, and profile performance using MathWorks’ support package and Qualcomm tools. Don't miss out—join us!

 

Speaker: Christoph Stockhammer (Senior Application Engineer, Mathworks).

 

Bio: Christoph Stockhammer is a Senior Application Engineer at MathWorks, specializing in Embedded AI, where he applies deep technical expertise to support advanced engineering solutions

Christoph Stockhammer | droidcon Berlin

Date: September 25th, 2025

Time: 4:40 pm - 5:20 pm

 

Discover the latest advancements in video codecs designed to deliver ultra-high quality capture and immersive in-app experiences. This session delves into next-generation video codecs, exploring how they can be used to seamlessly implement HDR, HDR10, and Dolby Vision in Android multimedia apps. This session highlights modern codec advances in compression and color fidelity, providing practical guidance on integrating these advanced HDR formats. Additionally, you'll learn how to optimize performance with Qualcomm® hardware and ensure robust playback across different devices. Perfect for developers aiming to deliver cinematic-quality video and future-ready app experiences using Qualcomm Technologies leading-edge platforms.

 

Speaker: Raj Mankad and Vinay Pandurangi

Bio: Director of Product Management at Qualcomm Technologies, Inc., leading the strategy and roadmap for developer tools that leverage Snapdragon technology across AI, gaming, and computer vision. With 15+ years of experience launching customer-focused solutions and strategic partnerships, Raj combines deep technical knowledge with proven business leadership in mobile, IoT, automotive, and AR/VR domains. Raj holds an MBA from UCLA Anderson and an MSE in Electrical Engineering from Arizona State University.

Raj Mankad | droidcon Berlin
Vinay Pandurangi | droidcon Berlin

Date: September 24th, 2025

Time: 11:55 am - 12:35 pm

 

This talk explores simplifying AI application development for Android devices using the AI Suite SDK, which abstracts away complexity and harnesses edge intelligence from mobile device sensors like GPS and image capture to derive actionable insights. This enables frontline workers to be augmented with a personal digital companion that leverages agentic AI to automate repetitive tasks, empowering them to focus on meaningful work such as delivering exceptional customer support.

 

Speaker: Ole Schulenburg.

 

Bio:After many years as an Android Expert in the Mobile Device Management field, Ole joined Zebra Technologies in 2021 to enable tech staff within the partner community and help customers make strategic decisions. When he is not washing the dishes whilst explaining whatever needs explaining he is likely hiking through Scandinavia or playing Minecraft with his kids.

 

Ole Schulenburg | droidcon Berlin

Date: Wednesday, September 24th 2025

Time: 3:45 pm - 5:00 pm

 

Join us for an insightful workshop where you’ll learn how to transform any Android device into a powerful mobile AI sensor hub using Edge Impulse. In this session, we’ll guide you through the complete workflow with sample code, from activating your device’s built-in sensors and cameras to collecting real-world data, training machine learning models, and deploying them for real-time inference. Discover how easy it is to bring machine learning to the edge without the need for purpose-built hardware, enabling you to deploy AI directly to Android apps and solve real-world problems using just your phone. We’ll also explore how the same process can be applied to Android wearable devices. Practical applications, such as visual anomaly detection in manufacturing, motion and fall detection for wearables, and predictive maintenance for industrial equipment, will be showcased. Whether you’re an app developer or an embedded engineer, you’ll leave equipped to prototype your own edge AI solutions on Android devices without needing advanced AI expertise. Don’t miss this opportunity to accelerate your journey into edge intelligence!

 

Rajan Bharatkumar Mistry | droidcon Berlin
Akshaya Nagendra | droidcon Berlin

Date: Thursday, September 25th 2025

Time: 1:50 pm - 3:25 pm

 

Join us for an exciting workshop to learn about the common challenges developers face when migrating AI workloads from the cloud to edge devices. Qualcomm Technologies is leading the charge in democratizing AI at the edge, and this session will show you how to leverage their platform to make the transition seamless. You’ll learn why performing machine learning on-device is crucial for optimizing performance and privacy, and how to select, train, or fine-tune a model for your specific use case. We’ll walk you through the Qualcomm® AI Hub, providing step-by-step guidance on getting started, iterating on your model, and meeting performance requirements for deployment. Plus, you’ll have the opportunity to practice with real-world use cases and get expert advice from the Qualcomm AI Hub team. Don’t miss this chance to bring your ML projects to the edge with ease and efficiency!

 

Meghan Stronach | droidcon Berlin
Ashvin Kumar | droidcon Berlin

In this demo, we will show you how to run an AI model from the Qualcomm AI Hub and have the chance to interact with the team and learn how to streamline your CI/CD workflows. We’ll also showcase applications that leverage AI models from the Qualcomm AI Hub and our powerful tools, including Bring Your Own Model (BYOM) and Bring Your Own Device (BYOD) capabilities.

Computer vision at the edge for tracking and object detection, combined with a large language vision assistant (LLaVA), represents a powerful fusion of real-time processing and advanced AI capabilities. In this demo, we showcase how edge devices, such as smart cameras and IoT sensors, can perform efficient and accurate object detection and tracking without relying on cloud infrastructure. This local processing ensures low latency and high reliability, making it ideal for applications like security monitoring, industrial automation, and smart retail.