This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Snapdragon Ride Vision System is designed to enhance vehicle perception for safer driving experiences Today’s drivers reap the benefits of active safety features in their vehicles. Automatic emergency braking, lane departure warnings, blind spot detection and […]
Modern Vehicles See More with Computer Vision Read More +
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Heart rate detection with Open CV It’s probably no surprise to you that heart rate can be measured using different gadgets like smartphones or smartwatches. But did you know you can measure it using just the camera
Heart Rate Detection with Open CV Read More +
Md Nasir Uddin Laskar, Staff Machine Learning Engineer at Walmart Global Tech, presents the “Understanding, Selecting and Optimizing Object Detectors for Edge Applications” tutorial at the May 2023 Embedded Vision Summit. Object detectors count objects in a scene and determine their precise locations, while also labeling them. Object detection plays a crucial role in many
In recent years, there has been significant interest in the use of low-cost gas sensors affixed to lampposts, trees, and traffic lights within smart cities to monitor outdoor air quality. Yet before this industry has really taken off, there are already signs of a trend away from the adoption of expansive sensor networks towards mobile
Why is Air Quality Monitoring Going Mobile? Read More +
Dinesh Jayaraman, Assistant Professor at the University of Pennsylvania, presents the “Vision-language Representations for Robotics” tutorial at the May 2023 Embedded Vision Summit. In what format can an AI system best present what it “sees” in a visual scene to help robots accomplish tasks? This question has been a long-standing challenge for computer scientists and
We’re thrilled to share the second episode of our Dragonfly video series. In this video, we delve deeper into Dragonfly’s capabilities, specifically focusing on how we enhance indoor localization under challenging conditions. Key Takeaways: The significance of visual markers in Computer Vision and Visual SLAM. Our ingenious solution—visual markers on the ceiling—ensuring consistent and accurate
Robert Laganière, Professor at the University of Ottawa and CEO of Sensor Cortek, presents the “Introduction to Modern LiDAR for Machine Perception” tutorial at the May 2023 Embedded Vision Summit. In this presentation, Laganière provides an introduction to light detection and ranging (LiDAR) technology. He explains how LiDAR sensors work and their main advantages and
When picturing a robot, an intimidating human-like figure might come to mind, but what if they could help businesses gain maximum benefit from their unmatched efficiency and power? Service robots are technological marvels proving to possess the enhanced capabilities of human labor, with fantastic flexibility and unmatched power, while always looking smart. The most common
Service Robots – Our New and Efficient Coworkers Read More +
Mehrsan Javan, Co-founder and CTO of Sportlogiq, presents the “Computer Vision in Sports: Scalable Solutions for Downmarket Leagues” tutorial at the May 2023 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this requires a fully automated, robust end-to-end pipeline, spanning from visual input, to
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Have you ever suffered from high inference time when working with Transformers? In this blog post, we will show you how to optimize and deploy your model to improve speed up to x10! If you have been keeping
A Guide to Optimizing Transformer-based Models for Faster Inference Read More +
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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