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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 creative ideas into real-world movements!

OpenMV N6 and AE3 gained immense popularity globally on Kickstarter, and OpenMV MP2 will be unveiled at the ST Global Summit.
In April 2025, OpenMV N6 & AE3 garnered significant attention from numerous industry clients, developers, and AI enthusiasts during the global pre-launch campaign 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 Home Camera, powerful fall detection algorithm, providing multi-percentage peace of mind protection.

OpenMV N6 and OpenMV MP2 debuted at the STM32 Global Summit, earning high industry recognition.
On May 15-16, 2025, SingTown showcased two major new products, the OpenMV N6 and OpenMV MP2, at the STM32 Global Summit, a premier technical exchange event in the global embedded semiconductor development field.
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.