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From healthcare and pharmaceuticals to food and beverage, manufacturing processes across the globe are still inefficient. Despite engineering teams’ best efforts, below-par product design, lack of effective communication and human error lead to almost $8 trillion of waste per year.

Needless to say, this significantly impacts a company’s bottom line — and the environment — making it a critical problem. Therefore, manufacturing companies are exploring various solutions such as computer vision to increase efficiency, optimize manufacturing processes, reduce waste and drive innovation.

In a nutshell, computer vision is a field of artificial intelligence (AI) that allows computers to interpret and understand visual information from sources such as images and videos. It leverages a large amount of data, processes input images, labels objects on these images and finds patterns within them. Although this technology has been around for years, recent advancements have meant that today’s systems are now 99% accurate compared to 50% less than a decade ago.

Yet only 10% of organizations currently use computer vision to boost their business operations. However, more and more manufacturing companies are in the process of investigating or implementing this technology as the benefits become more visible. Now’s the time to dive deeper.

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Understanding how computer vision sees

Data collection is key for a computer vision system to work without glitches. First, cameras and sensors set up in the assembly line capture images and upload them to a …

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