AI is reshaping numerous industries, and its integration into factory operations is gaining traction because of the advantages it offers, such as enhanced efficiency, quality and cost reduction.
However, the widespread acceptance of AI in industrial automation poses difficulties. Numerous manufacturers hold misconceptions about AI's industrial applications, which could hold them back from deploying the technology. Therefore, we have addressed and dispelled five myths surrounding AI in manufacturing.
Myth: AI Requires Costly Hardware Installation
Fact: AI doesn't require costly hardware installations, unlike traditional machine vision technology, which demands expensive setups and offers limited functionalities. AI seamlessly integrates with already installed equipment i-e industrial cameras, and doesn't necessitate specific factory configurations to deliver satisfactory results.
Myth: AI is Only for Large Companies
Fact: AI is accessible and affordable for small and medium-sized companies, allowing them to compete more effectively in the marketplace. By leveraging AI-powered systems, organizations can streamline their operations, increase efficiency, and boost productivity, all while keeping costs down. One area where businesses can benefit greatly from AI is quality control. AI-powered systems can help manufacturers identify and address quality issues more quickly and accurately, saving both time and money in the long run.
Myth: AI is Only for Office Tasks, Not Assembly Lines
Fact: Fact: AI extends beyond office tasks, playing a critical role in production environments. AI systems monitor and analyze production line data, alerting operators to quality issues and offering insights for continuous improvement in quality control.
One significant advantage of AI-based systems is their learning capability. By aggregating data from diverse sources and recognizing deviations, AI models can predict potential quality issues and provide proactive solutions
Myth: Industrial AI Requires Thousands of Images and Large Datasets
Fact: Industrial AI varies based on application needs. While complex tasks like anomaly detection may require extensive data, simpler AI methods, like edge learning, can excel with just 5-10 images. These straightforward solutions enable frontline personnel to deploy defect detection and classification without extensive training or datasets.
Myth: AI Will Replace Human Workers
Fact: While it's a common misconception that AI will entirely replace human workers, the truth is quite different. AI not only automates tasks but also enhances human capabilities, allowing workers to focus on creative and strategic endeavors .
AI serves as a tool to augment human workers, enabling them to focus on critical thinking and problem-solving. Moreover, humans are vital for AI implementation and development, ensuring a collaborative future where AI assists rather than replaces workers.
About xis_suite
xis_suite automates visual quality inspection with AI and robotics. With a camera and no code computer vision platform that enables non-technical industrial users to develop, deploy, and use automated visual inspection (AOI) in any industry in minutes.
xis_suite is an expandable platform that can be implemented on already installed equipment's i-e cameras, saving time and money. Additionally, it seamlessly deploys on both edge and cloud platforms, ensuring optimal AI model efficiency and safeguarding user data privacy.
Fig 1 : xis_suite Software
