Videos on Edge AI and Visual Intelligence
We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.
View all Video Posts
The SK-TDA4VM, an 8 TOPS Deep Learning Starter Kit for Edge AI Application Development
Bring smart cameras, robots and intelligent machines to life with Texas Instruments’ TDA4VM processor starter kit. With a fast setup process and an assortment of foundational demos and tutorials, you can start prototyping a vision-based application in less than an hour. The kit enables 8 TOPS of deep learning performance and hardware-accelerated edge AI processing
Oculi Enables Near-zero Lag Performance with an Embedded Solution for Gesture Control
Immersive extended reality (XR) experiences let users seamlessly interact with virtual environments. These experiences require real-time gesture control and eye tracking while running in resource-constrained environments such as on head-mounted displays (HMDs) and smart glasses. These capabilities are typically implemented using computer vision technology, with imaging sensors that generate lots of data to be moved
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
AI Face Identification Using the Maxim Integrated (Analog Devices) MAX78000EVKIT
In this video, you’ll see how AI technology can be used to identify faces using the MAX78000EVKIT from Maxim Integrated (now part of Analog Devices), along with a camera and display. This face identification demonstration, shown by Erman Okman and Gorken Ulkar, members of the technical staff at Maxim Integrated, implements an energy-efficient convolutional neural
e-CAM83_CUMI415_MOD: 4K Camera Module for Ultra-low-light Conditions
This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In recent years, there has been an increased emergence of applications that require cameras to operate in low light conditions—from sports broadcasting and smart surveillance to factory automation and quality inspection. As a result, being able
Oculi Enables Always-on, Low Power Consumption, IoT Wireless Smart Imagers
“Machine vision is not about pretty images. It really should be about efficiency: How do we get the information in an efficient way?” stated Charbel Rizk, PhD, CEO of Oculi to EETimes in a recently published article. This video is one example of how our software-defined vision sensor can enable unparalleled efficiency for your resource
Boeing Q&A: Machine Learning and AR-powered Aircraft Inspection
In this Q&A moderated by Nick Facey, Senior Program Manager for Accelerate Solutions at Unity Technologies, Jack Hsu, senior manager at Boeing Vancouver, describes the development of his company’s augmented reality (AR) project for maintenance and inspection. You’ll learn how Boeing overcame development challenges by training machine learning algorithms with synthetic images to enable quick
e-CAM24_CUNX: Color Global Shutter Camera to Capture Fast Moving Objects
This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Today, there are several vision applications that require cameras to capture fast-moving objects without any rolling shutter artifacts. They include license plate recognition, advanced driver-assistance systems, robotic vision, drones, factory automation, gesture recognition, traffic monitoring, and
Benchmark Embedded Deep Learning Inference in Minutes
TI Edge AI Cloud is a free service that lets you evaluate accelerated deep learning inference using TDA4x processors from Texas Instruments that you access via the cloud. No hardware purchase or software installation is required. TI Edge AI Cloud lets you: Connect to a Jacinto™ TDA4x processor evaluation board via the cloud Experience software
Maxim Integrated (Analog Devices) Demonstration of AI-based Speech Recognition
Afshin Niktash, Senior Principal Member of the Technical Staff at Maxim Integrated (now part of Analog Devices) demonstrates the keyword spotting and other audio recognition capabilities of the MAX78000 in a fun snake game application.
