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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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Blaize Demonstration of Sensor Fusion and Semantic Segmentation Processing on the Pathfinder P1600
Doug Watt, Director of Field Applications Engineering at Blaize, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Watt demonstrates sensor fusion and semantic segmentation processing on the Blaize Pathfinder P1600. The use case fuses data received from full HD cameras and from lidar and radar
Blaize Demonstration of People and Pose Detection and Key Point Tracking Using the Picasso SDK
Rajesh Anantharaman, Senior Director of Products at Blaize, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Anantharaman demonstrates both people and pose detection and key point tracking using the Blaize Picasso SDK. A high resolution, multi-neural network and multi-function graph-native application built on the Blaize
Blaize Demonstration of Multi-camera Object Detection on the Blaize Xplorer X1600E
Shawn Holiday, Senior Director for Customer Success at Blaize, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Holiday demonstrates multi-camera object detection on the Blaize Xplorer X1600E. The use case processes 5 independent HD video streams using 5 independent YoloV3 networks with less than 100
Arm Demonstration of Real-time Object Tracking with OpenMV
Carlo Grisafi, IoT Developer Advocate at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Grisafi demonstrates real-time object tracking with OpenMV. Grisafi demonstrates how to use MicroPython, along with a quantized TensorFlow Lite Microcontroller model, to run a cup detection program that keeps track
Arm Demonstration of Body Pose Tracking on Smart TVs
Mina Dimova, Staff Software Engineer at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Dimova demonstrates how to move the gym to the living room by means of body pose tracking on smart TVs. The lifestyle changes we have all experienced over the past
May 2021 Embedded Vision Summit Slides
The Embedded Vision Summit was held online on September 15-25, 2020, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form.… May 2021 Embedded Vision Summit
“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Gareth Cross
Independent game developer (and former technical lead of state estimation at Skydio) Gareth Cross presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the May 2021 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross aims to provide foundational… “Introduction to Simultaneous Localization and
Integrate Face Detection in Your Application
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Don’t be overwhelmed, because adding face detection to your applications has never been so easy! A lot of the times, face detection is not the primary focus of the application but is an important component and many
“Case Study: Facial Detection and Recognition for Always-On Applications,” a Presentation from Synopsys
Jamie Campbell, Product Marketing Manager for Embedded Vision IP at Synopsys, presents the “Case Study: Facial Detection and Recognition for Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on,… “Case Study: Facial Detection and
“A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience,” a Presentation from BDTI and Tryolabs
Evan Juras, Computer Vision Engineer at BDTI, and Braulio Ríos, Machine Learning Engineer at Tryolabs, co-present the “A Mask Detection Smart Camera Using the NVIDIA Jetson Nano: System Architecture and Developer Experience” tutorial at the May 2021 Embedded Vision Summit. MaskCam is a prototype reference design for a smart camera… “A Mask Detection Smart Camera
