Deep learning has transformed many aspects of computer vision, including object detection, enabling accurate and efficient identification of objects in images and videos. However, choosing the right deep neural network-based object detector for your project, particularly when deploying on lightweight […]
Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how to go from prototype to safe, compliant, large-scale deployment—thousands to millions of devices—without drowning in integration work and life-cycle risk. In this […]
Battery-powered wireless vision sensors can reduce installation cost and enable deployments where external power is impractical. But once we add edge AI for on-device image processing—both to protect privacy and to minimize bandwidth—the power budget becomes the central design constraint […]
Visual AI is now central to many real-time and safety-critical embedded systems. In this introductory talk, we explain the foundation of how deep learning enables modern computer vision, starting with what images and video look like to a machine (tensors […]
Defense systems often push edge processing and sensor performance to extremes, making them strong candidates for AI—but also exposing constraints that differ sharply from commercial deployments. This talk explains the unique technical and operational challenges of deploying AI for defense […]
Most edge vision deployments fail not because of model architecture, but because real-world training data is structurally incomplete. Sampled data can’t cover combinatorial edge cases, forcing perpetual retraining cycles that break embedded deployment, explainability requirements and silicon viability. In this […]
Designing a camera system requires a deep understanding of the fundamental principles of image formation and the physical characteristics of its components. Translating computer vision-based system requirements into camera system parameters is a crucial step. In this talk, we will […]
Reliable localization and mapping are foundational for autonomous vehicles and robots, yet camera-centric systems often degrade in fog, rain, snow, glare or low light—exactly when robust perception is most critical. This talk explores radar-based simultaneous localization and mapping (SLAM) as […]
In this session we’ll provide a comprehensive introduction to the three fundamental auto algorithms (3A) that enable high-quality imaging in embedded camera systems: auto-exposure (AE), auto-focus (AF) and auto-white-balance (AWB). We’ll explain the core principles and logic behind each algorithm, […]
The transformer architecture revolutionized the field of AI and serves as the basis for current state-of-the-art large language models. Yet, transformer networks struggle with the quadratic complexity of long sequences, a critical bottleneck for high-resolution embedded vision. In this talk, […]
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