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SingTown Technology Co., Ltd., a national high-tech enterprise, sets a new benchmark for the embedded machine vision industry!
SingTown Technology has been certified as a National High-Tech Enterprise! This certification represents a comprehensive review and high recognition of the enterprise’s core technologies, R&D investment, innovation achievement transformation, and other aspects.

New Release | SingTown OpenMV Official Robotic Arm is Here! Effortlessly Leverage AI Vision, Redefining Playability!
SingTown OpenMV Official Robotic Arm, now officially launched! From "seeing" to "thinking clearly" to "taking action," it seamlessly integrates the complete AI image recognition and machine vision pipeline, efficiently, accurately, and effortlessly transforming your ideas into real-world movements!

OpenMV N6 and AE3 Garnered Exceptional Popularity Globally on Kickstarter, OpenMV MP2 to Debut at SingTown Global Summit
In April 2025, OpenMV N6 & AE3 garnered significant attention from numerous industry clients, developers, and AI enthusiasts during its global pre-launch on Kickstarter. With its high-performance AI image recognition, low-power design, and ease of development, it became a focal point in the market.

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SingTown's First Home Camera Released: Tackling Industry Challenges, Defining "True" Fall Detection
SingTown officially launches its first professional-grade fall detection camera for home users, achieving "accurate and unobtrusive" protection.
SingTown Home, Happy Home – SingTown Family Camera, powerful fall detection algorithm, providing peace of mind with multi-percentage protection.

OpenMV N6 and OpenMV MP2 Debut at STM32 Global Summit, Garnering High Industry Recognition
On May 15-16, 2025, SingTown Technology showcased two major new products, the OpenMV N6 and OpenMV MP2, at the STM32 World Summit, a premier global technical exchange event in the field of embedded semiconductor development.
During the summit, SingTown Technology was honored with the STMicroelectronics Global Partner Award, recognizing our contributions to advancing embedded machine vision and AI image recognition.