Videos

Don’t Take Activation Functions for Granted

In this video, Martin Isaksson, the CEO and co-founder of PerceptiLabs, explains the importance of the activation function in determining a machine learning model’s performance. For more information, visit https://www.perceptilabs.com 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

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Getting Started with Maxim Integrated’s (Analog Devices’) MAX78000EVKIT

The MAX78000EVKIT is well suited for getting started in the world of machine learning. In this video, Shawn Brooks, applications engineer at Maxim Integrated (now part of Analog Devices), shows how to set up the system and run the sample applications to begin using the MAX78000 low-power artificial intelligence microcontroller.

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e-CAM130_CURB: 13 Mpixel Fixed-focus 4K Camera for the Raspberry Pi 4

This video was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The Raspberry Pi 4 is one of the most common platforms used for camera evaluation and prototyping. However, unlocking the true vision potential of Raspberry Pi 4 requires the ability to select the right camera. e-CAM130_CURB

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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

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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

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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

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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

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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

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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

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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

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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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