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 […]
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
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
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.
How Driver Monitoring Cameras Improve Driving Safety and Their Key Features Read More +
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,
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
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
Effortless Edge Deployment of AI Models with Digica’s AI SDK (Featuring ExecuTorch) Read More +
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
Automotive OEMs Integrating AI into In-cabin Sensing Read More +
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
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
A New Standard in Facial Recognition Security: Multispectral Imaging Technology Read More +
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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