Face Recognition

Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor

Shay Harel, field application engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Harel demonstrates the capabilities of his company’s M4.51 sensor module using a simple Python script that leverages Inuitive’s API for real-time object detection. The M4.51 sensor module, based on the […]

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Gigantor Technologies Demonstration of Removing Resource Contention for Real-time Object Detection

Jessica Jones, Vice President and Chief Marketing Officer at Gigantor Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Jones demonstrates her company’s GigaMAACS’ Synthetic Scaler with a live facial tracking demo that enables real-time, unlimited objection detection at all ranges while only requiring training

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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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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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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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