Face Detection

Face Detection Functions

Passenger Detection and Nighttime Safety – Exploring Infrared Technology

ADAS braking systems, night vision, and driver monitoring can all be enhanced using the infrared spectrum. IDTechEx‘s latest report, “Infrared (IR) Cameras for Automotive 2025-2035: Technologies, Opportunities, Forecasts“, explores long-wave infrared (LWIR), short-wave infrared (SWIR), and near-infrared (NIR) sensors as means to increase the safety and protection of road users. Long-wave infrared and autonomous possibilities

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5 Key Features to Look for in RGB-IR Cameras for Biometric Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Selecting the right camera for biometric systems is crucial to ensuring accurate and consistent image capture for applications like facial recognition, iris scanning, and access control. RGB-IR cameras have emerged as a game-changer by capturing

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Why You Don’t Need Two Separate Cameras for RGB and IR Imaging in Remote Patient Monitoring

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog post explores how RGB-IR cameras simplify remote patient monitoring (RPM) by eliminating the need for separate day and night cameras. It highlights their benefits, including compact design, reduced power consumption, and simultaneous RGB

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What are the Key Camera Features of Retail Kiosks?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Retail kiosks, from self-checkout to interactive displays, rely on cameras to deliver seamless and efficient customer experiences. Discover how high-performance cameras can enhance security, streamline operations, and drive sales. Explore the latest advancements in camera

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“Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras,” a Presentation from Wyze

Lin Chen, Chief Scientist at Wyze, presents the “Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras” tutorial at the May 2024 Embedded Vision Summit. In this talk, Chen explains how Wyze delivers robust visual AI at ultra-low cost for millions of consumer smart cameras, and how his company is rapidly… “Cost-efficient, High-quality AI for Consumer-grade

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“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware

Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and… “Implementing AI/Computer Vision for Corporate

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Orchestrating Innovation at Scale with NVIDIA Maxine and Texel

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The NVIDIA Maxine AI developer platform is a suite of NVIDIA NIM microservices, cloud-accelerated microservices, and SDKs that offer state-of-the-art features for enhancing real-time video and audio. NVIDIA partners use Maxine features to create better virtual interaction

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Redefining Hybrid Meetings With AI-powered 360° Videoconferencing

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The global pandemic catalyzed a boom in videoconferencing that continues to grow as companies embrace hybrid work models and seek more sustainable approaches to business communication with less travel. Now, with videoconferencing becoming a cornerstone of modern

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“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies

Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on… “Using AI to Enhance the

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Enhancing Face Detection Through Noise Reduction: A Breakthrough in Visual Recognition

This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. In the ever-evolving landscape of security technology, the accuracy of face detection plays a pivotal role in safeguarding our surroundings. However, the accuracy and efficiency of face detection algorithms can be significantly challenged, especially in low-light conditions

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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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Analog Devices Demonstration of the MAX78000 AI Microcontroller Performing Action Recognition

Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates the MAX78000 AI microcontroller performing action recognition using a temporal convolutional network (TCN). Using a TCN-based model, the MAX78000 accurately recognizes a

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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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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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PO Box #4446
Walnut Creek, CA 94596

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