Nuremberg, Germany — March 5, 2026 — D3 Embedded announced today that Alex Avery, Lead Computer Vision and Deep Learning Engineer, will present “From Foundation to Factory: Adapting Foundational Vision Encoders to Custom OCR at the Edge”
at Embedded World 2026 on March 11 at 11:00, as part of the Embedded Vision Track (Session 6.4: Emerging Embedded Vision and Audio Technologies) in Room Prag at the NCC Ost Convention Centre.
Manual identification and cataloging of e-waste components remains a persistent bottleneck—slow, inconsistent, and difficult to scale. In this session, Avery will describe a practical approach to deploying OCR and structured field extraction on-premises, where privacy, low latency, and operational control are critical. The talk addresses real-world challenges such as extreme label variability (fonts, wear, glare, barcodes, and layout) that can make generic off-the-shelf models and cloud-only solutions impractical under edge constraints.
The presentation will outline a system architecture that brings a state-of-the-art foundational vision encoder to the edge, freezing the encoder to reuse robust spatial features while training compact, domain-specific decoder heads for detection, OCR, and field extraction on limited in-domain data. Avery will also cover optional domain adaptation techniques, efficiency trade-offs (including INT8 vs. FP16), and a production workflow that supports rapid bootstrapping and continuous improvement with human-in-the-loop review—designed to compile efficiently and deploy reliably on NVIDIA Jetson platforms.
Attendees will leave with concrete steps to adapt foundational vision encoders for reliable, low-latency OCR at the edge, along with guidance on measuring results using field-level accuracy, latency, and model-size metrics.
About D3 Embedded
D3 Embedded develops end-to-end solutions integrating sensors, connectivity, embedded processing, and AI to deliver advanced perception for performance-critical applications.
