This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways Why multi-sensor timing drift weakens edge AI perception How GNSS-disciplined clocks align cameras, LiDAR, radar, and IMUs Role of Orin NX as a central timing authority for sensor fusion Operational gains from unified time-stamping […]
This blog post was originally published at OpenCV’s website. It is reprinted here with the permission of OpenCV. Imagine capturing the perfect landscape photo on a sunny day, only to find harsh shadows obscuring key details and distorting colors. Similarly, in computer vision projects, shadows can interfere with object detection algorithms, leading to inaccurate results.
Enhancing Images: Adaptive Shadow Correction Using OpenCV Read More +
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. In today’s automotive industry, onboard AI inference engines drive numerous safety-critical Advanced Driver Assistance Systems (ADAS) features, all of which require consistent, high-performance processing. Given that AI model engineering is inherently iterative (numerous cycles of ‘train, validate, and
Driving the Future of Automotive AI: Meet RoX AI Studio Read More +
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. We all know the AI revolution train is heading straight for the Embedded Station. Some of us are already in the driver’s seat, while others are waiting for the first movers to pave the way so we can
Right Sizing AI for Embedded Applications Read More +
This blog post was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The gap between robotics prototypes and production deployments has always been an infrastructure problem disguised as a hardware problem. Teams build incredible computer vision models and robotic control systems on NVIDIA Jetson developer kits, only to hit
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways How the idea of near-miss incidents shapes proactive traffic safety programs Where near-miss detection strengthens future-ready intersections and highways How AI vision tracks movement, classifies conflict, and ranks severity Why imaging features such as
Proactive Road Safety: Detecting Near-Miss Incidents with AI Vision Read More +
OpenMV kicked off 2026 with a substantial software update and a clearer look at where the platform is headed next. The headline is OpenMV Firmware v4.8.1 paired with OpenMV IDE v4.8.1, which adds multi-sensor capabilities, expands event-camera support, and lays the groundwork for a major debugging and connectivity upgrade coming with firmware v5. If you’re
OpenMV’s Latest: Firmware v4.8.1, Multi-sensor Vision, Faster Debug, and What’s Next Read More +
This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex tasks like picking up flexible objects or navigating cluttered environments. These tasks rely
Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates Read More +
Forward-looking retailers are increasingly relying on an in-store combination of data collection through IoT devices with various types of sensors, AI for decisions and transactions on live data, and digital signage to communicate results and allow for interaction with customers and store associates. The applications built on this data- and AI-centric foundation range from more
How Edge Computing In Retail Is Transforming the Shopping Experience Read More +
This blog post was originally published at MIPS’s website. It is reprinted here with the permission of MIPS. Physical AI is the ability for machines to sense their environment, think locally, act safely, and communicate quickly without waiting on the cloud. In safety-critical scenarios like driver assistance or industrial robotics, milliseconds matter. That’s why MIPS’
Meet MIPS S8200: Real-Time, On-Device AI for the Physical World 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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