Face Recognition Functions
“Understanding Human Activity from Visual Data,” a Presentation from Sportlogiq
Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Understanding Human Activity from Visual Data” tutorial at the May 2025 Embedded Vision Summit. Activity detection and recognition are crucial tasks in various industries, including surveillance and sports analytics. In this talk, Javan provides an in-depth exploration of human activity understanding,… “Understanding Human Activity from Visual
STMicroelectronics and Tobii Enter Mass Production of Breakthrough Interior Sensing Technology
Starting mass production of an advanced interior sensing system for a premium European carmaker for enhanced driver and passenger monitoring Cost-effective single-camera solution combines Tobii’s interior-sensing technology and ST’s imaging sensors to deliver wide-angle, high-quality imaging in daytime and nighttime environments Stockholm, Sweden; Geneva, Switzerland – October 2, 2025 — Tobii, the global leader in
How AI-powered Cameras Are Transforming Data Center Security
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Data centers process, store, and transmit enormous volumes of data. So, it makes them natural targets for intrusion, sabotage, and other violations. Learn about the importance of AI-based camera surveillance in data centers and their
Next-gen Fleet Telematics and Dashcams Shift to On-device AI
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The role of dashcams has changed significantly over the past decade. What began as a passive recording device has become an active, intelligent safety and operations tool. This evolution is being driven by edge AI—the ability to
“Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data,” a Presentation from AI Tensors
Ravi Kota, CEO of AI Tensors, presents the “Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data” tutorial at the May 2025 Embedded Vision Summit. AITCare-Vision predicts cognitive decline by analyzing sleep-wake disorders data in older adults. Using computer vision and motion sensors coupled with AI algorithms,… “Using Computer Vision for Early
Alif Semiconductor Demonstration of Face Detection and Driver Monitoring On a Battery, at the Edge
Alexandra Kazerounian, Senior Product Marketing Manager at Alif Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kazerounian demonstrates how AI/ML workloads can run directly on her company’s ultra-low-power Ensemble and Balletto 32-bit microcontrollers. Watch as the AI/ML AppKit runs real-time face detection using an
Microchip Technology Demonstration of Real-time Object and Facial Recognition with Edge AI Platforms
Swapna Guramani, Applications Engineer for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Guramani demonstrates her company’s latest AI/ML capabilities in action: real-time object recognition using the SAMA7G54 32-bit MPU running Edge Impulse’s FOMO model, and facial recognition powered by TensorFlow Lite’s Mobile
How Driver Monitoring Cameras Improve Driving Safety and Their Key Features
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Driver monitoring cameras have become widely accepted as a force in improving road safety. They go a long way to address the risks associated with driver inattention and fatigue by helping continuously observe driver behavior.
Namuga Vision Connectivity Demonstration of an AI-powered Total Camera System for an Automotive Bus Solution
Min Lee, Business Development Team Leader at Namuga Vision Connectivity, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates his company’s AI-powered total camera system. The system is designed for integration into public transportation, especially buses, enhancing safety and automation. It includes front-view, side-view,
Biometrics in IoT: CyberLink Ports FaceMe to Qualcomm Hexagon NPU for Facial Recognition on Edge Devices
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. If you develop facial recognition software, you spend most of your time and effort maximizing performance, accuracy and precision. Your customers expect high performance, even when running on low-power edge devices like point-of-sale (POS) terminals, kiosks and
Effortless Edge Deployment of AI Models with Digica’s AI SDK (Featuring ExecuTorch)
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Deploying AI models on mobile and embedded devices is a challenge that goes far beyond just converting a trained model. While frameworks like PyTorch offer a streamlined way to develop deep learning models, efficiently deploying them on
Automotive OEMs Integrating AI into In-cabin Sensing
Integration of AI into In-Cabin Sensing – Automotive OEMs Making Full Use of Software to Enable Advanced Features As regulatory frameworks such as the EU’s Advanced Driver Distraction Warning (ADDW) near enforcement, automotive OEMs are increasingly integrating in-cabin sensing technologies with software-defined vehicle architectures. This shift, evident at CES 2025, marks a pivotal moment in
Qualcomm Dragonwing Intelligent Video Suite Modernizes Video Management with Generative AI at Its Core
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Video cameras generate a lot of data. Companies that use a video management system (VMS) are left wanting to get more value out of all the video data they generate, enabling them to take the actions that
A New Standard in Facial Recognition Security: Multispectral Imaging Technology
This blog post was originally published at Namuga Vision Connectivity’s website. It is reprinted here with the permission of Namuga Vision Connectivity. Traditional facial recognition technology has greatly enhanced both convenience and security. However, it still struggles to differentiate between real faces and sophisticated forgeries like silicone masks, printed photos and 3D models. Enter MultiSpectral
Why an RGB-IR Camera is Crucial for Liveness Detection in Facial Recognition Systems
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Facial recognition systems, though powerful, are vulnerable to spoofing attacks. To combat this, RGB-IR cameras have emerged as a crucial solution. By capturing both visible and infrared light, these cameras can detect liveness of a
LG and Ambarella Join Forces to Advance AI-driven In-cabin Vehicle Safety Solutions
LG Sets New Standard in Accuracy and Reliability for In-Cabin Solutions with Ambarella-Powered Driver Monitoring System; Plans Demo During CES 2025 SEOUL, Korea and SANTA CLARA, Calif., Dec. 4, 2024 — LG Electronics (LG), a mobility sector technology leader, and Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that LG will showcase
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
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
