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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
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Considerate Cars: Making Calls for Coffee and Keeping Drivers Alert
Caffeine ready to collect as the car decides to pull over to charge could become the normality of the future, as software-defined vehicle technology and the presence of AI within vehicles advances. IDTechEx’s portfolios of Robotics & Autonomy and Semiconductors, Computing & AI research reports cover passenger safety and increased comfort, while the research onElectric
How Do Surround-view Cameras Improve Driving and Parking Safety?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. As vehicles become more complex, their need for accurate imaging has increased. This has driven the adoption of surround-view cameras. They give drivers a complete, real-time, 360-degree view of the vehicle, thereby improving situational awareness
Synopsys Demonstration of Siengine’s AD1000 ADAS Chip, Powered by Synopsys NPX6 NPU IP
Gordon Cooper, Principal Product Manager at Synopsys, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Cooper demonstrates the powerful SiEngine AD1000 NPU and the robust toolchain including debugger, profiler, and simulator, which features Synopsys NPX6 NPU IP. Learn how the platform supports TensorFlow, ONNX, and
Sony Semiconductor Demonstration of On-sensor YOLO Inference with the Sony IMX500 and Raspberry Pi
Amir Servi, Edge AI Product Manager at Sony Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Servi demonstrates the IMX500 — the first vision sensor with integrated edge AI processing capabilities. Using the Raspberry Pi AI Camera and Ultralytics YOLOv11n models, Servi showcases real-time
Namuga Vision Connectivity Demonstration of Compact Solid-state LiDAR for Automotive and Robotics Applications
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 a compact solid-state LiDAR solution tailored for automotive and robotics industries. This solid-state LiDAR features high precision, fast response time, and no moving parts—ideal for
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,
Namuga Vision Connectivity Demonstration of a Real-time Eye-tracking Camera Solution with a Glasses-free 3D Display
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 a real-time eye-tracking camera solution that accurately detects the viewer’s eye position and angle. This data enables a glasses-free 3D display experience using an advanced
Improving Synthetic Data Augmentation and Human Action Recognition with SynthDa
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Human action recognition is a capability in AI systems designed for safety-critical applications, such as surveillance, eldercare, and industrial monitoring. However, many real-world datasets are limited by data imbalance, privacy constraints, or insufficient coverage of rare but
Teledyne FLIR Demonstration of an Advanced Thermal Imaging Camera Enabling Automotive Safety Improvements
Ethan Franz, Senior Software Engineer at Teledyne FLIR, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2025 Embedded Vision Summit. Specifically, Franz demonstrates a state-of-the-art thermal imaging camera for automotive safety applications, designed using Lattice FPGAs. This next-generation camera, also incorporating Teledyne FLIR’s advanced sensing technology,
