“Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision,” a Presentation from Intel

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2020/11/smarter-manufacturing-with-intels-deep-learning-based-machine-vision-a-presentation-from-intel/ For more information about edge AI and computer vision, please visit: https://www.edge-ai-vision.com Tara K. Thimmanaik, Solutions Architect at Intel, presents the “Smarter Manufacturing with Intel’s Deep Learning-Based Machine Vision” tutorial at the September 2020 Embedded Vision Summit. As demand for smarter and more efficient manufacturing is growing, IoT technologies⁠—including sensors, edge devices, gateways, servers and the cloud⁠—are being used throughout the factory to compute deep learning analytics workloads at the appropriate location. Efficient data-driven manufacturing can help to reduce labor costs, increase quality and maximize profit. The biggest hindrance to achieving these outcomes is the difficulty in extracting data from vendor-locked and proprietary systems for analytics downstream. In this presentation, Thimmanaik covers Intel’s approach to developing open, flexible and scalable solutions, including: • Intel’s technologies such as OpenVINO, Movidius Vision Processor Units, Edge Insights Software (EIS) and deep learning algorithms • How Intel’s offerings come together in the industrial marketplace with partnerships forged to address the constraints of manufacturing infrastructure • Real-world examples highlighting defect detection in textile printing (where 90% accuracy at 50 fps was achieved) and smartphone screen production (where false negatives were only 0.6%)