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APQ Shines at the Machine Vision Forum, AK Series Intelligent Controllers Take Center Stage

APQ Shines at the Machine Vision Forum, AK Series Intelligent Controllers Take Center Stage

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On March 28th, the Chengdu AI and Machine Vision Technology Innovation Forum, organized by the Machine Vision Industry Alliance (CMVU), was held with great fanfare in Chengdu. At this highly anticipated industry event, APQ delivered a speech and showcased its flagship E-Smart IPC product, the new cartridge-style vision controller AK series, drawing significant attention from numerous industry experts and corporate representatives.

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That morning, Javis Xu, Vice President of APQ, delivered an impressive speech titled "Application of AI Edge Computing in the Field of Industrial Machine Vision." Leveraging the company’s extensive experience and practical insights in AI edge computing, Xu Haijiang provided a deep dive into how AI edge computing technology empowers applications in industrial machine vision and discussed the significant cost-reduction and efficiency-enhancement benefits of the new APQ cartridge-style vision controller AK series. The speech, both informative and engaging, received warm applause from the audience.

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After the presentation, APQ's booth quickly became a focal point of attention. Many attendees flocked to the booth, showing keen interest in the technical features and practical applications of the AK series vision controllers. APQ’s team members enthusiastically answered questions from the audience and provided detailed explanations of the company's latest research achievements and current market applications in the field of AI edge computing.

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By participating in this forum, APQ demonstrated its robust capabilities in AI edge computing and industrial machine vision, as well as the market competitiveness of its new generation of products, the AK series. Moving forward, APQ will continue to focus on the research and development of AI edge computing technologies, introducing more innovative products and services to advance the application of industrial machine vision.


Post time: Apr-01-2024