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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
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“Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras,” a Presentation from Wyze
Lin Chen, Chief Scientist at Wyze, presents the “Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras” tutorial at the May 2024 Embedded Vision Summit. In this talk, Chen explains how Wyze delivers robust visual AI at ultra-low cost for millions of consumer smart cameras, and how his company is rapidly… “Cost-efficient, High-quality AI for Consumer-grade
Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision AI models to end-to-end AI models for autonomous driving. Now the demand for computing
“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware
Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and… “Implementing AI/Computer Vision for Corporate
“Multi-object Tracking Systems,” a Presentation from Tryolabs
Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2024 Embedded Vision Summit. Object tracking is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this talk, Berneche… “Multi-object Tracking Systems,” a Presentation
“Improved Navigation Assistance for the Blind via Real-time Edge AI,” a Presentation from Tesla
Aishwarya Jadhav, Software Engineer in the Autopilot AI Team at Tesla, presents the “Improved Navigation Assistance for the Blind via Real-time Edge AI,” tutorial at the May 2024 Embedded Vision Summit. In this talk, Jadhav presents recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation… “Improved Navigation Assistance for the
“Introduction to Modern Radar for Machine Perception,” a Presentation from Sensor Cortek
Robert Laganière, Professor at the University of Ottawa and CEO of Sensor Cortek, presents the “Introduction to Modern Radar for Machine Perception” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Laganière provides an introduction to radar (short for radio detection and ranging) for machine perception. Radar is… “Introduction to Modern Radar for
2023 Milestone: More than 760,000 LiDAR Systems in Passenger Cars. Which Technology Leads the Market?
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Hesai, Seyond, RoboSense, and Valeo: Yole Group’s analysts invite you to dive deep into leading LiDAR tech. OUTLINE: LiDAR can achieve an angular resolution of 0.05°, offering more precise object detection and
Orchestrating Innovation at Scale with NVIDIA Maxine and Texel
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The NVIDIA Maxine AI developer platform is a suite of NVIDIA NIM microservices, cloud-accelerated microservices, and SDKs that offer state-of-the-art features for enhancing real-time video and audio. NVIDIA partners use Maxine features to create better virtual interaction
“Removing Weather-related Image Degradation at the Edge,” a Presentation from Rivian
Ramit Pahwa, Machine Learning Scientist at Rivian, presents the “Removing Weather-related Image Degradation at the Edge” tutorial at the May 2024 Embedded Vision Summit. For machines that operate outdoors—such as autonomous cars and trucks—image quality degradation due to weather conditions presents a significant challenge. For example, snow, rainfall and raindrops… “Removing Weather-related Image Degradation at
The Two Long-wave Infrared Innovations Required for a US$500M Market
Since thermal cameras have been an automotive technology for 25 years and are still not prevalent, it’s clear that developments are required for them to become a common choice in ADAS sensor suites. Although over 1.2 million on-road vehicles have thermal LWIR camera technology installed, this is 0.08% of the estimated total of 1.5 billion
