Sensors and Cameras

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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Upcoming Webinar on Challenges of Depth of Field (DoF) in Macro Imaging

On January 29, 2026, at 9:00 am PST (12:00 pm EST) Alliance Member company e-con Systems will deliver a webinar “Challenges of Depth of Field (DoF) in Macro Imaging” From the event page: We’re excited to invite you to an exclusive webinar hosted by e-con Systems: Challenges of DoF in Macro Imaging. In this session,

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NAMUGA Successfully Concludes CES Participation, official Launch of Next-Generation 3D LiDAR Sensor ‘Stella-2’

Las Vegas, NV, Jan 15 — NAMUGA announced that it successfully concluded the unveiling of its new product, Stella-2, at CES 2026, the world’s largest IT and consumer electronics exhibition, held in Las Vegas, USA, from January 6 to 9. The newly unveiled product, Stella-2, is a solid-state LiDAR jointly developed by NAMUGA and Lumotive. In

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Why Camera Selection is Extremely Critical in Lottery Redemption Terminals

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Lottery redemption terminals represent the frontline of trust between lottery operators and millions of players. The interaction at the terminal carries high stakes: money changes hands, fraud attempts must be caught instantly, and regulators demand

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Vision Components to Present VC MIPI IMX454 Multispectral Camera Module at Photonics West

Ettlingen, Germany, January 12, 2026 — Vision Components will present its new VC MIPI IMX454 Camera Module at SPIE Photonics West, 20-22 January in San Francisco, California. The MIPI Camera features Sony’s new multispectral image sensor IMX454 and enables to capture up to 41 wavelength in one shot. VC will also showcase its lineup of

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Deep Learning Vision Systems for Industrial Image Processing

This blog post was originally published at Basler’s website. It is reprinted here with the permission of Basler. Deep learning vision systems are often already a central component of industrial image processing. They enable precise error detection, intelligent quality control, and automated decisions – wherever conventional image processing methods reach their limits. We show how a

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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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