Edge AI and Vision Insights: February 23, 2022 Edition

Do you work at an early-stage start-up company developing a new product or service incorporating or enabling computer vision or visual AI? Do you want to raise awareness of your company and products with potential customers, investors and partners? Enter the seventh annual Vision Tank Start-Up Competition, offering start-up companies recognition and rewards, including the opportunity to present their new products or product ideas to more than 1,000 influencers and product creators at the Embedded Vision Summit, the key event for system and application developers who are incorporating computer vision and visual AI into products. Best of all, entry is free! For more information on the Vision Tank Start-Up Competition and to enter, please see the program page. Applications are due by next Tuesday, March 1.

Registration for the Embedded Vision Summit, taking place May 17-19 in Santa Clara, California, is also now open, and if you register by March 11, you can save 25% by using the code SUMMIT22-NL.

Tomorrow, Thursday February 24 at 9 am PT, BrainChip will deliver the free webinar “Developing Optimized Systems with BrainChip’s Akida Neuromorphic Processor” in
partnership with the Edge AI and Vision Alliance. BrainChip’s Akida processor today finds use in a diversity of applications, such as classifying images, identifying odors and tastes, recognizing breath data for disease classification, identifying air quality, interpreting LiDAR laser light data, recognizing keywords, and detecting cybersecurity attacks. Akida leverages advanced neuromorphic computing as its processing “engine”, delivering key features such as one-shot learning and on-device computing with no “cloud” dependencies. As such, it’s particularly valuable in evolving smart “edge” devices, where privacy, security, low power consumption, low latency and high performance, low cost, and small size are all important criteria. In this session, you’ll learn how to easily develop efficient AI in edge devices by implementing Akida IP either into your SoC or as standalone silicon. The presenters will provide detailed performance and other results, derived from real-life system implementations using production Akida silicon, as well as share a variety of design techniques and support resources. For more information and to register, please see the event page.

Brian Dipert
Editor-In-Chief, Edge AI and Vision Alliance

Intelligent Vision System for Grains
In this presentation, Andrea Dunbar, Sector Head for Edge AI and Vision at CSEM, discusses the challenges and lessons learned in implementing a custom intelligent vision system to detect types of grain and measure flow rate and morphology of grains going through a milling system.

Using Vision Systems to Enable Dynamic Workflows in Manufacturing
Enabling dynamic manufacturing workflows from the supply chain to production and customer delivery holds the promise of increased operating efficiency and greater profits. This interview with Paul Turner, Vice President for Industry 4.0 Applications & Analytics at Stanley Black & Decker, led by Laila Partridge, Managing Director at STANLEY+Techstars Accelerator, explores how computer vision will play a key role in enabling these operating efficiencies.

How Containerization Unblocks Barriers to Fast, Easy Deployment of AI-Driven Visual Recognition Applications
Recent progress in machine learning algorithms has been meteoric. Yet their implementation in real-world embedded applications crawls at a snail’s pace, in large part due to inconsistent and inefficient software architectures. In this presentation, Rakshit Agrawal, Director of Research and Development at Camio, introduces the concept of software containerization, explains how it works, and examines how a containerized deployment methodology at the edge can circumvent barriers that currently hinder the deployment of new and improved ML algorithms. He also explores the trade-offs and limitations of using containerization, and shows how his company has used containerization to enable new capabilities like mask detection and license plate recognition to be quickly deployed on to existing cameras.

OpenVX 1.3: An Open Standard for Computer Vision Software Acceleration
OpenVX is a popular computer vision and machine learning API standard developed by the Khronos Group to be a novel, open and royalty-free standard for cross-platform acceleration. In this talk, Kiriti Nagesh Gowda, Staff Engineer at AMD, presents the latest features in OpenVX 1.3 in detail and explores how these features are being leveraged by OpenVX adopters and developers. In addition, he reviews implementations and open-source tools available to enhance the performance, portability, and memory footprint of applications using OpenVX.

Developing Optimized Systems with BrainChip’s Akida Neuromorphic Processor – BrainChip Webinar: February 24, 2022, 9:00 am PT

A Platform Approach to Developing Intelligent Video Products – Network Optix Webinar: March 17, 2022, 9:00 am PT

Embedded Vision Summit: May 17-19, 2022, Santa Clara, California

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