Automotive Applications for Embedded Vision
Vision products in automotive applications can make us better and safer drivers
Vision products in automotive applications can serve to enhance the driving experience by making us better and safer drivers through both driver and road monitoring.
Driver monitoring applications use computer vision to ensure that driver remains alert and awake while operating the vehicle. These systems can monitor head movement and body language for indications that the driver is drowsy, thus posing a threat to others on the road. They can also monitor for driver distraction behaviors such as texting, eating, etc., responding with a friendly reminder that encourages the driver to focus on the road instead.
In addition to monitoring activities occurring inside the vehicle, exterior applications such as lane departure warning systems can use video with lane detection algorithms to recognize the lane markings and road edges and estimate the position of the car within the lane. The driver can then be warned in cases of unintentional lane departure. Solutions exist to read roadside warning signs and to alert the driver if they are not heeded, as well as for collision mitigation, blind spot detection, park and reverse assist, self-parking vehicles and event-data recording.
Eventually, this technology will to lead cars with self-driving capability; Google, for example, is already testing prototypes. However many automotive industry experts believe that the goal of vision in vehicles is not so much to eliminate the driving experience but to just to make it safer, at least in the near term.

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

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

Autonomous Driving Software and AI in Automotive 2026-2046: Technologies, Markets, Players
For more information, visit https://www.idtechex.com/en/research-report/autonomous-driving-software-and-ai-in-automotive/1111. The global autonomous driving software market in 2046 will be greater than US$130 billion This report provides an analysis of the software market for ADAS and autonomous driving software. Topic coverage includes business models, hardware, and software paradigms and trends developing in the market for ADAS and autonomous driving. IDTechEx

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,

Micron Demonstration of Memory in Automotive: Great Things Come in Small Packages
Bill Stafford, Marketing Solutions Director at Micron, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Stafford demonstrates his company’s collaboration with Infineon on the TRAVEO T2G CYT4EN graphics microcontroller teamed with Micron LPDDR4 and e.MMC, which give automotive clusters media rich content, high performance, and

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,

Cadence Demonstration of Waveguide 4D Radar Central Computing on a Tensilica Vision DSP-based Platform
Sriram Kalluri, Product Marketing Manager for Cadence Tensilica DSPs, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kalluri demonstrates the use of the Tensilica Vision 130 (P6) DSP for advanced 4D radar computing for perception sensing used in ADAS applications. The Vision 130 DSP is

US Export Controls on AI Chips Boost Domestic Innovation in China
AI chips for data centers, rely on international collaboration in design, manufacturing, and distribution, however the US has cornered China by restricting this collaboration. These AI processors see increasing demand in data centers, but this comes with high energy consumption and capital costs. The discussion around advanced chips for artificial intelligence, driven by billions in