Face Detection Functions
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
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
“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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
The Autonomous Home Has Arrived: Experience What’s Possible at CES 2024
This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. As we enter 2024, the smart home is ready to enter a new era. Thanks to two overlapping trends — the arrival of Matter, the interoperability standard from the Connectivity Standards Alliance (CSA), and the
