Major challenges in manufacturing
Lagging behind the innovation curve is unsound
The manufacturing industry is going through a global transformation at unprecedented speeds, leading to increased challenges and risks for businesses that fail to adapt.
A manufacturing business lagging behind the innovation curve is no longer sound business practice by today's standards.
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Unsustainable employment shortages
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Lack of new technology adoption
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Significant skills gaps
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Critical operational risks
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Slower output and growth
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Falling behind the competition
AI-powered transformation
Power up quality control processes with artificial intelligence technolgy
Traditional quality control processes in manufacturing are still human reliant. Quality control expectations are a critical barrier for manufacturers to evolve into advanced manufacturing, and labour and skills shortages are further impeding the transition.
However with the right technology in place, manufacturers can ensure quality control is handled accurately, efficiently, and cost-effectively; while uplifting in-house capability for complex manufacturing production.
Hyperceptor's AI-based machine vision solution is designed to leverage modern computer vision and active learning algorithms to provide a cost-effective quality control solution that can be used in a variety of contexts.