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OpenMV N6 and OpenMV MP2 Unveiled at STM32 Global Summit, Garnering High Industry Recognition

On 15-16 May 2025, SingTown Technology 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.

Through this summit, we have once again demonstrated our core technological strengths in the fields of machine vision and AI image recognition to the industry. SingTown Technology's OpenMV series products have received high praise from industry professionals for their continuous innovation, systematic solutions, and ecosystem development efforts.

ST获奖照片

New Product Launch: OpenMV N6 and OpenMV MP2 Technical Capabilities Highly Recognised

OpenMV N6Possesses formidableAI Computing PowerandImage Processing Capabilityequipped withSTM32N6 ProcessorSingTown1GHz NPUand through deep optimisation, the YOLO model achieves a frame rate of over 30 FPS, making it an ideal choice for efficient image recognition and AI real-time inference applications, particularly inIndustrial Automation, Intelligent Monitoring, Robotics, Unmanned Aerial VehiclesIt has demonstrated significant market potential across various application scenarios.

N6亮点罗列

AndOpenMV MP2As the first OpenMV smart camera series product running on the Linux system, it leverages itsDual-core A35 Processorand1.35 TOPS NPUSingTown's powerful performance successfully provides developers with more flexible and robust system-level development support. Simultaneously supporting both OpenMV and OpenCV algorithm libraries enables developers to conveniently conduct complex AI algorithm development and debugging.

MP2亮点罗列

Brand Influence and Future Prospects: Our Global Vision

During this summit, SingTown Technology was honoured with the STMicroelectronics Global Partner Award, recognising our contributions to advancing embedded machine vision and AI image recognition.

ST获奖照片

Currently, SingTown's products and technologies have delivered practical AI image recognition and machine vision intelligent solutions across various fields, including industrial inspection, smart home, autonomous driving, robotics, and the low-altitude economy. These encompass:

● AtIndustrial InspectionIn the process, automated visual tasks such as part defect identification, fruit quality sorting, warehouse palletizing and sorting, and intelligent field harvesting are achieved.

● AtSmart HomeScenarios, supporting facial recognition, gesture recognition, intrusion alarm, electric scooter entry warning, and automatic tray settlement.

● AtAutonomous DrivingIn terms of applications, it can be used for lane detection, traffic sign recognition, fatigue driving monitoring, violation identification, and drone precision landing.

● AtRobotIn the application, it possesses capabilities such as digital recognition, colour recognition, shape recognition, target tracking, and waste sorting.

Certainly, industry recognition is not only reflected in technological breakthroughs but also stems from a steadfast commitment to innovation and a steady pace of development. SingTown Technology will continue to drive technological innovation and application expansion, assisting various industries in achieving intelligent transformation. Looking ahead, we will further expand our product ecosystem, providing global clients with more robust technical support and services through innovative AI image recognition solutions.

The future holds great promise. Stay tuned for more updates from SingTown Technology!

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ST获奖照片

OpenMV N6 and OpenMV MP2 Unveiled at STM32 Global Summit, Garnering High Industry Recognition

On 15-16 May 2025, SingTown Technology 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 honoured with the STMicroelectronics Global Partner Award, recognising our contributions to advancing embedded machine vision and AI image recognition.

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