Object Identification Functions
“Human-centric Computer Vision with Synthetic Data,” a Presentation from Unity Technologies
Alex Thaman, Chief Software Architect at Unity Technologies, presents the “Human-centric Computer Vision with Synthetic Data” tutorial at the May 2022 Embedded Vision Summit. Companies are continuing to accelerate the adoption of computer vision to detect, identify and understand humans from camera imagery. Unity sees these human-centric use cases in… “Human-centric Computer Vision with Synthetic
“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix
Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit. Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range… “A Platform Approach to Developing
“FOMO: Real-Time Object Detection on Microcontrollers,” a Presentation from Edge Impulse
Jan Jongboom, Co-founder and CTO of Edge Impulse, delivers the “FOMO: Real-Time Object Detection on Microcontrollers” tutorial at the May 2022 Embedded Vision Summit. Object detection models are vital for many computer vision applications. They can show where an object is in a video stream, or how many objects are… “FOMO: Real-Time Object Detection on
May 2022 Embedded Vision Summit Slides
The Embedded Vision Summit was held on May 16-19, 2022 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2022 Embedded Vision Summit
Exploring Data Labeling and the 6 Different Types of Image Annotation
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Data labeling is an essential step in a supervised machine learning task. The same is true for image annotation. Data labeling and image annotations must work together to paint a complete picture. If you show a child
Protecting Critical Infrastructure Using Network Edge AI Platform
This blog post was originally published at Lanner Electronics’ website. It is reprinted here with the permission of Lanner Electronics. Background Forest fires may have a variety of origins and causes but early detection and warning methods used to limit the extent of their damage are largely the same. Now, cutting-edge AI technology is enabling
Live Object Detection Demo Using OpenVINO
Welcome to the first episode of Intel’s Edge Innovation Series for Developers! Meet your hosts, Stephanie Essin and Ragesh Hajela. They are two techies going on a developer discovery journey together, uncovering how to use Intel® developer resources and tools (like OpenVINO™) to speed up development, tinker with cool demos, and show you what is
Smart City Demonstration Powered by DeepView Middleware
This video demonstrates how the DeepView Vision Starter Kit | Micro was used to build a real-world remote vehicle detection system for a parking use case example. Au-Zone Technologies’ low-cost DeepView Vision Starter Kit | Micro is ideal for remote site monitoring with limited connectivity bandwidth, as all the imaging processing and machine learning is
Custom Detection Model Training
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. In this post, we will look at the best methods for collecting a training dataset to train a custom detection model. Use of deep learning in computer vision has increased in the last decade. In the past
Use Nx Meta to Build Enterprise, AI-Enabled Video Solutions at the Edge
This blog post was originally published at Network Optix’ website. It is reprinted here with the permission of Network Optix. In this article we’re going to take a look at Edge computing and how Nx Meta can help your organization rapidly develop full-stack AI-enabled video management applications. First: The Opportunity One of the largest emerging
Embry-Riddle Aeronautical University Integrates 8tree’s dentCHECK Into Its Aviation Maintenance Science Curriculum
World-renowned aviation school is using dentCHECK at its Daytona Beach, Florida campus to improve student skills and employability. CONSTANCE, Germany & RANCHO CUCAMONGA, Calif. (PRWEB) – March 09, 2022 – Embry-Riddle Aeronautical University, the world’s premier accredited university specializing in aviation and aerospace, has begun integrating dentCHECK into its Aviation Maintenance Science (AMS) curriculum. Embry-Riddle’s
3D Sensing and AI Processing for Smart Buildings
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. A partnership between Ambarella, Lumentum, and ON Semiconductor has resulted in a new series of hardware reference designs for biometric access control, 3D electronic locks, occupancy sensing and more. Building on our 2020 presentation on next-generation access
ML at the Edge: Visual Intelligence with a Low-cost MCU
This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Creating a dataset can be one of the most challenging aspects of creating a reliable model to work with. At Au-Zone we created a playing card dataset to show off the capabilities of our in-house
KF Aerospace Adopts dentCHECK for Its Commercial MRO Operations
CONSTANCE, Germany and RANCHO CUCAMONGA, Calif. – PRWEB – February 01, 2022 – KF Aerospace, a leading Canadian approved maintenance organization (AMO) has begun using 8tree’s dentCHECK to enhance the efficiency and quality of its dent-mapping activities. “KF performs hundreds of structural repairs annually on a wide variety of commercial aircraft” says Gregg Evjen, Chief Operating
Instant Models: Detecting Anomalies in Magnetic Tiles
In this video, Robert Lundberg, CTO and Co-founder of PerceptiLabs, builds a +80% accuracy model that detects anomalies in magnetic tiles in under 5 minutes! Try out PerceptiLabs (free for developers!): https://www.perceptilabs.com Dataset used in the video: https://www.kaggle.com/alex000kim/magnetic-tile-surface-defects/version/1 Read our blog: https://blog.perceptilabs.com Leave your questions and feedback: https://forum.perceptilabs.com Join our friendly community: https://perceptilabs-com.slack.com/join/shared_invite/zt-mxohtpkm-lQI_0nT~tBeUd2RtZIfe4g#/shared-invite/email
Renesas Demonstration of the RZ/V Microprocessor with a Power-efficient AI Accelerator
Manny Singh, Principal Product Marketing Manager at Renesas, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Singh demonstrates the company’s the RZ/V microprocessor with a power-efficient AI accelerator. In this demo of object detection and recognition on Renesas’ proprietary Dynamically Reconfigurable Processor (DRP-AI), Singh shows
Ready for Air: Welcome to a New Dawn for Aerial Autonomy
This blog post was originally published at Opteran Technologies’ website. It is reprinted here with the permission of Opteran Technologies. Opteran enables robust, fast, GPS free, verifiable autonomy for aerial systems, at previously unimaginable size, weight (~30g), power (~3W) and hardware costs using consumer 2D cameras Today we’re happy to share a first glance at our
LAON PEOPLE Demonstration of Surface Inspection Using a Deep Learning Solution
Henry Sang, Director of Business Development at LAON PEOPLE, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Sang demonstrates fully automatic inspection of complex surfaces (e.g., automobiles) using LAON PEOPLE’s advanced machine vision camera and deep learning algorithms. The solution is able to spot defects
