Face Detection

Microchip Technology Inc. Demonstration of a Smart Door Lock Using Facial Recognition

Nav Gupta, FPGA Application Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gupta demonstrates harnessing the power and thermal efficiency of the PolarFire SoC to develop low-power inferencing solutions. This demo showcases the versatility of the SoC with facial detection […]

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Microchip Technology Inc. Demonstration of Low-power Facial Recognition Using the PolarFire SoC

Swapna Gurumani, Senior Arm Applications Engineer at Microchip Technology Inc., demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Gurumani demonstrates her company’s SAMA7G54 MPU running facial recognition backed by TensorFlow Lite. When a person whose face is already enrolled presses a button, the smart door

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NXP Semiconductors Demonstration of Face Following with the MCX N Microcontroller

Anthony Huereca, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Huereca demonstrates some of the features of his company’s MCX N microcontroller. The AI-based face detection model in this demo enables the screen to react to the movements of the

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Nota AI Demonstration of Revolutionizing Driver Monitoring Systems

Tae-Ho Kim, CTO and Co-founder of Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Kim demonstrates Nota DMS, his company’s state-of-the-art driver monitoring system. The solution enhances driver safety by monitoring attention and detecting drowsiness in real-time. Cutting-edge AI techniques make Nota DMS

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BrainChip Demonstration of Analyzing Head Pose, Eye Gaze and Emotion with Human Behavior AI

Todd Vierra, Vice President of Customer Engagement at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Vierra demonstrates how BrainChip’s Akida AKD1000 neuromorphic processor detects human emotion. Partnered with BeEmotion.ai, the system monitors the state of the user through real-time observation and perception of

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BrainChip Demonstration of Neuromorphic AI in a Compact Form Factor

Todd Vierra, Vice President of Customer Engagement at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Vierra demonstrates inference on the edge using visual wake word and Yolo models using the Akida Edge AI Box to detect and identify people. The Akida Edge AI

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Network Optix Demonstration of Instantly Deployable Face Detection on OrinAGX with the Nx AI Manager

Jason Lee, Nx Business Development Manager at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Lee demonstrates an instantly deployable face detection AI model on NVIDIA’s OrinAGX using the Nx AI Manager, a plugin specifically designed to add AI functionality on the edge

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Revolutionizing Offline Advertising With Smart Signages and Embedded Vision

This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. The retail landscape has changed significantly in recent years, propelled by technological advancements. The COVID-19 pandemic posed new challenges to traditional retail spaces, which resulted in the need for more innovative communication mediums. To offer customers memorable

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The Integration of DMS and OMS Offers Advancements for In-cabin Monitoring

The Global In-Cabin Sensing Market Will Exceed US$8.5 Billion by 2034 In-cabin monitoring, comprising both Driver Monitoring System (DMS) and Occupancy Monitoring System (OMS), has experienced significant growth since the start of 2024. Traditionally, DMS relies on 2D infrared cameras, while OMS utilizes 3D sensing modules like 3D time-of-flight (ToF) cameras or radar modules. At

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Balancing Safety with Efficiency: How LiDAR Transforms Airport Passenger Flow

This blog post was originally published at Outsight’s website. It is reprinted here with the permission of Outsight. Airports, as critical transportation hubs, play a dual role in ensuring passenger safety and maintaining a smooth flow of travelers. Balancing these two aspects is a challenging endeavor, especially in the face of evolving security threats and

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