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.
Why 4K HDR Imaging is Required in Front View Cameras?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Mobility systems require front-view cameras that depend on visual intelligence. Hence, the camera’s input is the starting point for every decision. Learn why 4K HDR imaging is critical in front-view cameras and explore five major
AI at the Edge: The Next Gold Rush
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. Generative AI has ushered in a new era of technological progress, reminiscent of the rise of the internet in the 1990s. Beyond the impressive chatbots we’re now used to, the constant flow of innovation has introduced new
Infineon Technologies, NXP, and STMicroelectronics Face Rising Competition in $132 Billion Automotive Semiconductor Race
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group’s Automotive Semiconductor Trends 2025 report maps the competitive shifts in semiconductors reshaping the future of automotive electronics. KEY TAKEAWAYS Top five players hold roughly 50% of the automotive semiconductor market,
Snapdragon Ride: A Foundational Platform for Automakers to Scale with the ADAS Market
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The automotive industry is well into the transformation of vehicle architectures and consumer-driven experiences. As the demand for advanced driver assistance systems (ADAS) technologies continues to soar, Qualcomm Technologies’ cutting-edge Snapdragon Ride Platforms are setting a new standard for automotive
Understanding the Role of Multi-camera Systems in Smarter Fleet Management
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Conventional single-camera units no longer meet the expectations of fleet management. That’s led to the emergence of multi-camera systems. Learn how multi-camera solutions are elevating this industry, how to choose the right camera, and the
How High-resolution Cameras Are Transforming Traffic Enforcement and Monitoring
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Smart traffic systems leverage embedded camera solutions to help manage roadways, record violations, and detect traffic anomalies. Get expert insights on how cameras work in these systems, their top use cases applications, and key imaging
Humanoids, AI Chips, and Autonomy in the Future of Robotics
Humanoids, AI Chips, and Autonomy. Co-habiting or working alongside robots with humanlike capabilities may no longer be a thing of science-fiction. Assembling car parts or doing the weekly shop may be smart tasks for collaborative robots, while robotaxis boast the independence possible with the latest developments in vehicle autonomy. IDTechEx‘s research into Robotics & Autonomy
SiMa.ai Expands Strategic Collaboration with Synopsys to Accelerate Automotive AI Innovation
Transforming ADAS and In-Vehicle Infotainment Breakthroughs with Innovative ML IP, Chiplets, and System-on-Chip Reference Architectures SAN JOSE, Calif., July 30, 2025 /PRNewswire/ — SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, today announced the next phase of their strategic collaboration with Synopsys, the leading provider of engineering solutions from silicon to systems, to
Nextchip Demonstration of Various Computing Applications Using the Company’s ADAS SoC
Jonathan Lee, Manager of the Global Strategy Team at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates various computing applications using his company’s ADAS SoC. Lee showcases how Nextchip’s ADAS SoC can be used for applications such as: Sensor fusion of iToF
Is End-to-end the Endgame for Level 4 Autonomy?
Examples of modular, end-to-end, and hybrid software architectures deployed in autonomous vehicles. Autonomous vehicle technology has evolved significantly over the past year. The two market leaders, Waymo and Apollo Go, both have fleets of over 1,000 vehicles and operate in multiple cities, and a mix of large companies such as Nvidia and Aptiv, OEMs such
