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Enabling Technologies

“A New Adaptive Module for Vision AI at the Edge,” a Presentation from Xilinx

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“Case Study: Facial Detection and Recognition for Always-On Applications,” a Presentation from Synopsys

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“Visual AI at the Edge: From Surveillance Cameras to People Counters,” a Presentation from Synaptics

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“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

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“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA

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“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

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“DepthAI: Embedded, Performant Spatial AI and Computer Vision,” a Presentation from Luxonis

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“Flexible Machine Learning Solutions with Lattice FPGAs,” a Presentation from Lattice Semiconductor

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“Productizing Edge AI Across Applications and Verticals: Case Study and Insights,” a Presentation from Hailo and NEC

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“SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI and Multi-sensor Fusion for Contextually Aware Devices,” a Presentation from CEVA

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“Vision and AI DSPs for Ultra-High-End and Always-On Applications,” a Presentation from Cadence

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“Uncode AI: Code-free Development, Delivery and Maintenance of Edge AI Applications,” a Presentation from Blaize

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“A Mask Detection Smart Camera Using the Nvidia Jetson Nano: System Architecture and Developer Experience,” a Presentation from BDTI and Tryolabs

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“Object Detection and Dataset Labeling Using Colors of Manufactured Objects,” a Presentation from BASF

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“Software-Defined Cameras for Edge Computing of the Future,” a Presentation from Arm

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“Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach,” a Presentation from Qualcomm

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“Deploying Edge AI Solutions at Scale for the Internet of Things,” a Presentation from Qualcomm

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“Efficient Video Perception Through AI,” a Presentation from Qualcomm

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“5G and AI Transforming the Next Generation of Robotics,” a Presentation from Qualcomm

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“Three Lessons Learned in Building a Successful AI Inferencing Toolkit—from the OpenVINO Architect,” a Presentation from Intel

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“Performance, Ease of Development or Features: What Do Inferencing Software Developers Need Most?,” a Presentation from Intel

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“Accelerating Edge AI Solution Development with Pre-validated Hardware-Software Kits from Intel Partners,” a Presentation from Intel

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“For Vision and Edge AI, Are Today’s CPUs Really Old-School?,” a Presentation from Intel, Agent Vi and DarwinAI

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“Shrinking Time to Market and Reducing Costs for Retail Using Intel DevCloud for the Edge,” a Presentation from Intel and Vispera

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“Why is Taking AI to Production So Difficult?,” a Presentation from Intel and IntelliSite

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Fundamentals

“Person Re-Identification and Tracking at the Edge: Challenges and Techniques,” a Presentation from the University of Auckland

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“DNN Training Data: How to Know What You Need and How to Get It,” a Presentation from Tech Mahindra

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“10 Things You Must Know Before Designing Your Own Camera,” a Presentation from Panopteo

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“Maintaining DNN Accuracy When the Real World is Changing,” a Presentation from Observa

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“Optimizing ML Systems for Real-World Deployment,” a Presentation from iRobot

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“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Gareth Cross

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“Building the Eyes of a Vision System: From Photons to Bits,” a Presentation from GoPro

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“Modern Machine Vision from Basics to Advanced Deep Learning,” a Presentation from Deep Netts

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“A Survey of CMOS Imagers and Lenses—and the Trade-offs You Should Consider,” a Presentation from Capable Robot Components

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“Data Collection in the Wild,” a Presentation from BMW Group

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“Introduction to DNN Model Compression Techniques,” a Presentation from Xailient

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“When 2D Is Not Enough: An Overview of Optical Depth Sensing Technologies,” a Presentation from Ambarella

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“An Introduction to Data Augmentation Techniques in ML Frameworks,” a Presentation from AMD

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“Getting Started with Vision AI Model Training,” a Presentation from NVIDIA

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“Tools and Strategies for Quickly Building Effective Image Datasets,” a Presentation from BDTI

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Technical Insights

“Developing and Deploying a Privacy-Preserving Vision-Based Sensor System for Commercial Real Estate,” an Alliance Interview with XY Sense

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“Applying the Right Deep Learning Model with the Right Data for Your Application,” a Presentation from Vision Elements

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“An Introduction to Single-Photon Avalanche Diodes—A New Type of Imager for Computer Vision,” a Presentation from the University of Wisconsin – Madison

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“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung

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“Challenges in Vision-based Adaptive Traffic Control Systems,” a Presentation from Sahaj Software Solutions

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“Deploying PyTorch Models for Real-time Inference On the Edge,” a Presentation from Nomitri

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“Secure Hardware Architecture for Embedded Vision,” a Presentation from NeuroBinder

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“Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing,” a Presentation from Nedra

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“Building an Autonomous Detect-and-Avoid System for Commercial Drones,” a Presentation from Iris Automation

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“Efficient Deep Learning for 3D Point Cloud Understanding,” a Presentation from Facebook

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“Intelligent Vision System for Grains,” a Presentation from CSEM

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“Super Resolution on Resource Constrained Devices,” a Presentation from Collabora

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“A Practical Guide to Implementing ML on Embedded Devices,” a Presentation from the Chamberlain Group

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“Is My Model Performing Well? It Depends…,” a Presentation from BMW Group

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“Explainability in Computer Vision: A Machine Learning Engineer’s Overview,” a Presentation from AltaML

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“Productizing Complex Visual AI Systems for Autonomous Flight,” a Presentation from Airbus

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“Alternative Image Sensors for Intelligent In-Cabin Monitoring, Home Security and Smart Devices,” a Presentation from Xperi

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“How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications,” a Presentation from Camio

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“OpenVX 1.3: An Open Standard for Computer Vision Software Acceleration,” a Presentation from AMD

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“High-fidelity Conversion of Floating-point Networks for Low-precision Inference using Distillation with Limited Data,” a Presentation from Imagination Technologies

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“Facing Up to Bias,” a Presentation from Perceive

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“Khronos Group Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

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“Robust Object Detection Under Dataset Shifts,” a Presentation from Arm

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Demonstrations

Algolux Demonstration of Automatic Optimization of Camera Image Signal Processors for Computer Vision Using the Atlas Camera Optimization Suite

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Algolux Demonstration of Highly Robust Computer Vision for All Conditions with the Eos Embedded Perception Software

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Xilinx Demonstration of Defect Detection Running As an Accelerated Application on the Kria KV260

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Xilinx Demonstration of the Out-of-the-Box Experience with the Kria KV260 Starter Kit

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Xilinx Demonstration of an X-ray Classification Solution for COVID-19 and Pneumonia Detection

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Synopsys Demonstration of SRGAN Super Resolution on DesignWare ARC EV7x Processors

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Synopsys Demonstration of SLAM Acceleration on DesignWare ARC EV7x Processors

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Synaptics Demonstration of the Progression from Neural Network to Edge with Synaptics’ Katana Processor and Eta Compute’s TENSAI Flow Tool

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Synaptics Demonstration of Real-time Video Post-processing Using Machine Learning

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Synaptics Demonstration of Smart Video Conferencing on the Edge

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Connect Tech Demonstration of Integrating Vision Sensors with NVIDIA’s Jetson Edge Applications

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AAEON Demonstration of Its Compact Fanless Embedded BOX PC Based on NVIDIA’s Jetson Xavier NX SoC

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Nextchip Demonstration of Enabling Smart Automotive Camera ADAS

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Nextchip Demonstration of Its Imaging Signal Processor’s Supported Functions

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Nextchip Demonstration of Efficient Driver Monitoring for Automotive Cameras

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Noroc Demonstration of From-behind Collision Detection for Bicycle Riders

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Luxonis Demonstration of Neural Inference-controlled Crop, Zoom and H.265 Encode

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Luxonis Demonstration of Spatial Artificial Intelligence and Computer Vision for Human/Machine Safety

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Ignitarium Demonstration of AI-based Unit Inspection Using Lattice Semiconductor ECP5 FPGA

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Helion-Vision Demonstration of IONOS ISP on Lattice Semiconductor ECP5 FPGA

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Lattice Semiconductor Demonstration of Human Presence and Counting Using a CrossLink-NX FPGA

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Hailo Demonstration of State-of-the-Art Object Detection on the Edge with the Hailo-8 AI Processor

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Hailo Demonstration of Leveraging High Processor Throughput to Improve Object Detection on the Edge

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Cadence Demonstration of Vision and AI Applications on Tensilica-based Platforms

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Blaize Demonstration of Sensor Fusion and Semantic Segmentation Processing on the Pathfinder P1600

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Blaize Demonstration of People and Pose Detection and Key Point Tracking Using the Picasso SDK

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Blaize Demonstration of Multi-camera Object Detection on the Blaize Xplorer X1600E

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BASF Demonstration of a Color-based Object Detection System for Visual AI Applications

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Arm Demonstration of an Open Source Approach To Cloud-native Vision Workload Deployment

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Arm Demonstration of Real-time Object Tracking with OpenMV

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Arm Demonstration of Body Pose Tracking on Smart TVs

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Intel Demonstration of Accelerated Edge Intelligence Solution Development with the Edge Software Hub

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Intel Demonstration of DevCloud for the Edge

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Intel Demonstration of Write Once, Deploy Anywhere with OpenVINO

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Edge Impulse Demonstration of an an Effective Image Classification Solution that Costs Less than $5

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Edge Impulse Demonstration of High-speed Object Detection with the Jetson Nano

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Edge Impulse Demonstration of Accurate Digits Recognition with the Arduino Portenta

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Edge Impulse Demonstration of Low-compute Image Classification with a Himax Monochrome Camera

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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