Sensors and Cameras

Vision Components unveils all-in-one VC EvoCam with MediaTek processor

Ettlingen, February 18, 2026 — Vision Components is presenting the VCSBC EvoCam for the first time at embedded world, a new generation of all-in-one intelligent board-level cameras featuring the MediaTek Genio 510 processor. Measuring tiny 65 x 40 mm, the camera is equipped with all necessary components for image acquisition and image processing, making the […]

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Pushing the Limits of HDR with Ubicept

This blog post was originally published at Ubicept’s website. It is reprinted here with the permission of Ubicept. Executive summary Ubicept’s SPAD-based system offers consistent HDR performance in nighttime driving conditions, preserving shadow and highlight detail where conventional cameras fall short. Unlike traditional HDR techniques which often struggle with motion artifacts, Ubicept Photon Fusion maintains

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e-con Systems Launches DepthVista Helix 3D CW iToF Camera for Robotics and Industrial Automation

California & Chennai (February 17, 2026): e-con Systems, a global leader in embedded vision solutions, launches DepthVista Helix 3D CW iToF Camera, a high-performance depth camera engineered to deliver reliable and accurate 3D perception for wide range of industrial robotics applications, including Autonomous Mobile Robots (AMRs), pick-and-place, bin-picking, palletization and depalletization robots, industrial safety and automation, and

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Sony Pregius IMX264 vs. IMX568: A Detailed Sensor Comparison Guide

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The image sensor is an important component in defining the camera’s image quality. Many real-world applications pushed for smaller pixel sizes to increase resolution in compact form factors.  To address this demand, Sony has been improving

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Upcoming Webinar on CSI-2 over D-PHY & C-PHY

On February 24, 2026, at 9:00 am PST (12:00 pm EST) MIPI Alliance will deliver a webinar “MIPI CSI-2 over D-PHY & C-PHY: Advancing Imaging Conduit Solutions” From the event page: MIPI CSI-2®, together with MIPI D-PHY™ and C-PHY™ physical layers, form the foundation of image sensor solutions across a wide range of markets, including

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What’s New in MIPI Security: MIPI CCISE and Security for Debug

This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. As the need for security becomes increasingly more critical, MIPI Alliance has continued to broaden its portfolio of standardized solutions, adding two more specifications in late 2025, and continuing work on significant updates to the MIPI Camera

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What Sensor Fusion Architecture Offers for NVIDIA Orin NX-Based Autonomous Vision Systems

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

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Upcoming Webinar on Industrial 3D Vision with iToF Technology

On February 18, 2026, at 9:00 am PST (12:00 pm EST), and on February 19, 2026 at 11:00 am CET, Alliance Member company e-con Systems in partnership with onsemi will deliver a webinar “Enabling Reliable Industrial 3D Vision with iToF Technology” From the event page: Join e-con Systems and onsemi for an exclusive joint webinar

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OpenMV’s Latest: Firmware v4.8.1, Multi-sensor Vision, Faster Debug, and What’s Next

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

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Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates

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

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