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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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Qualcomm Announces Collaboration with Microsoft to Expand and Accelerate AR to Usher in New Gateways to the Metaverse

The Companies will Collaborate on Designing Custom AR Chips and Integrating Software Platforms January 4, 2022 – Las Vegas – At the 2022 Consumer Electronics Show (CES), Qualcomm Technologies, Inc. announced their collaboration with Microsoft to expand and accelerate the adoption of augmented reality (AR) in both the consumer and enterprise sector. Both companies are

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Face Tracking in Python using Xailient Face Detector and Dlib

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face tracking is detecting a set of faces in frame 1 of a video, establishing a correspondence between the frames, and maintaining a unique ID for each of the faces throughout the video. It is being used

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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

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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

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Oculi Demonstration of Real-time Depth Using Stereo Vision with Smart Events from the OCULI SPU

In this demonstration, a pair of OCULI SPU devices measure the distance to a moving object (a ball in this case) in real-time. This capability requires high dynamic range, high speed sampling (700 Hz in this case) and tight synchronization, all of which are made easy with the OCULI SPU.

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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

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LAON PEOPLE Demonstration of Traffic Analysis Using a Deep Learning Solution

Luke Faubion, Traffic Solution Director at LAON PEOPLE, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Faubion demonstrates traffic analysis using the company’s deep learning solution. The traffic analysis program Faubion demonstrates doesn’t require installing a new IP camera. LAON PEOPLE’s AI solution provides vehicle,

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Coherent Logix Demonstration of Virtual Surround View Fire Detection Using a Deep Neural Network and the HyperX Processor

Martin Hunt, Director of Applications Engineering at Coherent Logix, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Hunt demonstrates virtual surround view fire detection using a deep neural network (DNN) and the company’s HyperX processor. In this demo, Hunt shows the detection of fire using

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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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