Face Detection Functions
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
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
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,
BrainChip Demonstration of How the Akida Neural Processor Solves Problems At the Edge
Todd Vierra, Director of Customer Engagements at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Vierra demonstrates how the company’s Akida event-based neural processor (NPU) solves problems at the edge. Utilizing BrainChip’s Akida NPU, you can leverage advanced neuromorphic computing as the engine for
BrainChip Demonstration of AI at the Sensor with 3D Point Cloud Solutions Based on the Akida Neural Processor
Todd Vierra, Director of Customer Engagements at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Vierra demonstrates AI at the sensor with 3D point cloud solutions based on the company’s Akida event-based neural processor (NPU). Utilizing BrainChip’s Akida NPU, you can leverage advanced neuromorphic
Synaptics Demonstration of Smart Video Conferencing on the Edge
Zafer Diab, Director of Product Marketing at Synaptics, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Diab demonstrates smart video conferencing on the edge in partnership with Pilot.ai. Enhancements in AI processing capabilities on edge devices are enabling a richer video conferencing experience. These capabilities
AAEON Demonstration of Its Compact Fanless Embedded BOX PC Based on NVIDIA’s Jetson Xavier NX SoC
Iris Huang, Product Sales Manager, and Owen Wei, AI & IOT Product Solution Manager, both of NVIDIA partner AAEON, demonstrate the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Huang and Wei demonstrate AAEON’s BOXER-8251AI AI@Edge compact fan-less embedded BOX PC, based on NVIDIA’s Jetson Xavier NX
Nextchip Demonstration of Efficient Driver Monitoring for Automotive Cameras
Jessie Lee, General Manager of Technical Marketing at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Lee demonstrates efficient driver monitoring for automotive cameras. In this demonstration, Nextchip, in collaboration with PathPartner Technology, presents a driver monitoring system (DMS) solution based on its ADAS
Lattice Semiconductor Demonstration of Human Presence and Counting Using a CrossLink-NX FPGA
Deepak Boppana, Senior Director of Segments and Solutions Marketing at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Boppana demonstrates a development board equipped with a CrossLink-NX FPGA, based on the Lattice Semiconductor Nexus platform. The FPGA is programmed to perform human presence
Cadence Demonstration of Vision and AI Applications on Tensilica-based Platforms
Amol Borkar, Senior Product Marketing Manager for Vision and AI DSPs at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Borkar demonstrates various vision and AI applications, including real-time examples of driver monitoring, automotive perception, 6DoF SLAM and semantic segmentation, running on Tensilica processor-
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
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 May 25-28, 2021, 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. To… May 2021 Embedded Vision Summit
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, battery-powered systems that use facial
“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 that counts the number of
September 2020 Embedded Vision Summit Slides
The Embedded Vision Summit was held online on September 15-25, 2020, 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. To… September 2020 Embedded Vision Summit
“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland
Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick individuals. High-density communities also have
