LETTER FROM THE EDITOR |
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Dear Colleague, If your company supplies building-block technologies or services, I’m pleased to present an opportunity for your company to gain significant visibility and connect with key industry leaders by exhibiting or sponsoring at the 2025 Embedded Vision Summit. The Summit is not just another tech conference; it is the premier event dedicated to practical computer vision and AI. The Summit brings together over 1,100 of the brightest engineers, developers and business leaders who are at the forefront of innovation in vision-based technologies. By exhibiting or sponsoring, you will gain unparalleled access to a highly targeted and engaged audience, eager to discover the latest advancements and solutions. For more information, visit the Summit sponsor and exhibitor page. We’ll see you at the Summit! Brian Dipert |
IMAGE ENHANCEMENT |
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Image Signal Processing Optimization for Object Detection This talk from Young-Jun Yoo, Executive Vice President at Nextchip, delves into the challenges and optimization strategies in image signal processing for enhancing object detection in advanced driver-assistance systems (ADAS). Through real-world examples, Yoo explores the critical role of image tuning in addressing corner cases and improving detection accuracy. The presentation covers ADAS sensing methodologies and verification processes, emphasizing the importance of image quality in sensor data. Yoo provides practical insights into image tuning techniques, including day-night transition handling and environment-based adjustments. He shares valuable knowledge on optimizing image signal processing to ensure robust object detection, enhancing safety and performance in automotive applications. |
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Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques In this presentation, Raghava Kashyapa, CEO of Qualitas Technologies, explores how advanced image acquisition techniques reveal previously unseen information, improving the ability of algorithms to provide valuable insights. He introduces various techniques, including high-resolution optics, filters, high dynamic range imaging and multispectral imaging. Kashyapa explains how these techniques work and shares recommendations on how system developers can best utilize them to improve image quality and boost the performance of innovative machine vision applications. You’ll learn and explore how to make the invisible visible in your projects. |
CAMERA INTERFACES |
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Using MIPI CSI to Interface with Multiple Cameras As demand rises for vision capabilities in robotics, virtual/augmented reality, drones and automotive, there’s a growing need for systems to incorporate multiple cameras. However, the limited number of camera interfaces on SoCs poses a challenge. In this presentation, Karthick Kumaran Ayyalluseshagiri Viswanathan, Staff Software Engineer at Meta, explains a variety of techniques using the MIPI CSI standard to overcome SoC interface limitations and connect multiple high-resolution cameras to systems effectively. |
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Camera Interface Standards for Embedded Vision Applications This insightful interview delves into key elements of the MIPI camera interface standards for embedded vision systems and how these standards are evolving. Haran Thanigasalam, Camera and Imaging Consultant for the MIPI Alliance, explains the MIPI standards pertinent to embedded vision, from data compression to energy-efficient transport options. And he explores how MIPI standards facilitate integration of multiple sensors as well as how they address increasingly critical considerations such as privacy and functional safety. |
UPCOMING INDUSTRY EVENTS |
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The CMOS Image Sensor Industry: Technology Trends and Emerging Applications – Yole Group Webinar: December 3, 2024, 9:00 am PT Embedded Vision Summit: May 20-22, 2025, Santa Clara, California |
FEATURED NEWS |
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Qualcomm Introduces an Industrial-grade IQ Series and IoT Solutions Framework to Usher in New Era of Industrial Intelligence e-con Systems Launches a Hot-pluggable GMSL Automotive HDR Camera D3 Embedded Introduces Camera Modules Based on MIPI A-PHY Chipsets Basler Presents pylon AI, Its New AI Image Analysis Software for Complex Applications Altera’s Expanded Scalable Portfolio Accelerates FPGA-based Innovations from Edge to Cloud |
EDGE AI AND VISION PRODUCT OF THE YEAR WINNER SHOWCASE |
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Qualcomm Snapdragon X Elite Platform (Best Edge AI Processor) Qualcomm’s Snapdragon X Elite Platform is the 2024 Edge AI and Vision Product of the Year Award Winner in the Edge AI Processors category. The Snapdragon X Elite is the first Snapdragon based on the new Qualcomm Oryon CPU architecture, which outperforms every other laptop CPU in its class. The Snapdragon X Elite’s heterogeneous AI Engine has a combined performance of greater than 70 TOPS across the NPU, CPU and GPU. The Snapdragon X Elite includes a powerful integrated NPU capable of delivering up to 45 TOPS. In addition to raw performance, on-device AI benefits from a model’s accuracy and response time, as well as the speed for large language models, measured in tokens per second. The Snapdragon X Elite can run a 7 billion parameter Llama 2 model on-device at 30 tokens per second. The Oryon CPU subsystem outperforms the competitor’s high-end 14-core laptop chip in peak performance by 60%, and can match the competitor’s performance while using 65% less power. When compared to the leading performing x86 integrated GPU, Snapdragon X Elite delivers up to 80% faster performance, and can match the competitor’s highest performance with 80% less power consumption. Developers will have access to the latest AI SDKs too. Snapdragon X Elite features support for all of the leading AI frameworks, including TensorFlow, PyTorch, ONNX, Keras and more. Please see here for more information on Qualcomm’s Snapdragon X Elite Platform. The Edge AI and Vision Product of the Year Awards celebrate the innovation of the industry’s leading companies that are developing and enabling the next generation of edge AI and computer vision products. Winning a Product of the Year award recognizes a company’s leadership in edge AI and computer vision as evaluated by independent industry experts. |
