Brian Dipert

How Does a Forward-facing Camera Work, and What Are Its Use Cases in ADAS?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Forward-facing cameras are the proverbial eyes of Advanced Driver Assistance Systems (ADAS). They collect real-time visual data from the vehicle’s surroundings and monitor the road, contributing to the system’s overall situational awareness. They capture key […]

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“Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-cost Hardware,” a Presentation from Useful Sensors

Pete Warden, CEO of Useful Sensors, presents the “Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-cost Hardware” tutorial at the May 2025 Embedded Vision Summit. In this talk, Warden presents Moonshine, a speech-to-text model that outperforms OpenAI’s Whisper by a factor of five in terms of speed.… “Voice Interfaces on a Budget:

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Chips&Media’s New APV CODEC Delivers Extreme Visual Quality to the Android Industry

Advanced Professional Video CODEC from Chips&Media is now on its way to the Android industry to enable extreme image quality as well as professional video experience in capture, playback, and edit use-cases in APV ecosystem. Key notes: New CODEC for professional video experience, in healthy competition with ProRes in iOS Ideal for edge devices even

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Renesas Sets New MCU Performance Bar with 1-GHz RA8P1 Devices with AI Acceleration

Single- and Dual-Core MCUs Combine Arm Cortex-M85 and M33 Cores with Arm Ethos-U55 NPU to Deliver Superior AI Performance up to 256 GOPs Unprecedented 7300+ CoreMarks[1] with Dual Arm CPU cores TSMC 22ULL Process Delivers High Performance and Low Power Consumption Embedded MRAM with Faster Write Speeds and Higher Endurance and Retention Dedicated Peripherals Optimized

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The Rise of Collaborative Robots: Technical and Commercial Insights

Analysis of cobots market penetration by different tasks and industries. Collaborative robots (cobots) have transformed manufacturing, with their market projected to grow from US$1.2 billion in 2023 to US$29.8 billion by 2035, at a CAGR of 34.5% based on IDTechEx‘s analysis. Unlike traditional industrial robots, which operate in isolated, caged environments for safety, cobots work

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Embedded Quest 2025: MCU Vendors Step up Edge AI Play

Edge AI was the primary focus of microcontroller vendors at the 2025 Embedded World Exhibition. We caught up with some industry executives for our annual Embedded Quest program, asking them about their take on Edge AI. As usual, the Embedded World Exhibition in Nuremberg, Germany, drew a large crowd of companies in the computing processor

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Introducing NVFP4 for Efficient and Accurate Low-precision Inference

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without

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“Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing,” a Presentation from Tryolabs and the Nature Conservancy

Alicia Schandy Wood, Machine Learning Engineer at Tryolabs, and Vienna Saccomanno, Senior Scientist at The Nature Conservancy, co-present the “Computer Vision at Sea: Automated Fish Tracking for Sustainable Fishing” tutorial at the May 2025 Embedded Vision Summit. What occurs between the moment a commercial fishing vessel departs from shore and… “Computer Vision at Sea: Automated

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FRAMOS and Toradex Strengthen Partnership to Simplify Embedded Vision Development

Enhanced integration between Toradex’s System-on-modules (SoMs) and FRAMOS Camera Modules simplifies the prototyping and development of embedded vision systems based on NXP processors. Munich – June 30th 2025 – Embedded system engineers and architects, as well as technical team leads in robotics, IoT, medical, and industrial applications, can now benefit from a simplified approach to

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Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Edge AI is no longer a futuristic idea—it’s an essential technology driving today’s smart devices across industries, from industrial automation to consumer IoT applications. But building AI applications at the edge still comes with challenges: complexity with

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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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