One of the biggest challenges for non-AI experts is the terminology. Artificial intelligence, machine learning (ML), and computer vision (CV) are frequently discussed, but people outside of data science fields often do not know what they mean. Fortunately, it is not that complex: Artificial Intelligence, Machine Learning, and Computer Vision all generally refer to the same thing, just with more specificity. For example, if you are running a computer vision algorithm to identify solar panel defects, you are engaging in AI, ML, and CV. In contrast, if you are translating words from English to Spanish using an algorithm, that is more likely to be AI or ML, not CV. Most AI inspection projects in the solar panel industry are typically CV initiatives.

For example, if you are running a computer vision algorithm to identify solar panel defects, you are engaging in AI, ML, and CV. In contrast, if you are translating words from English to Spanish using an algorithm, that is more likely to be AI or ML, not CV. Most AI inspection projects in the solar panel industry are typically computer vision (CV) initiatives. This means that an algorithm uses images to identify solar panel defects. The use of AI and CV in solar panel inspection is relatively novel.

One of the biggest challenges for non-AI experts is the terminology. Artificial intelligence (AI), machine learning (ML), and computer vision (CV) are frequently discussed, but people outside of data science fields often do not know what they mean. Fortunately, it is not that complex: Artificial Intelligence, Machine Learning, and Computer Vision all generally refer to the same thing, just with more specificity. For example, if you are running a computer vision algorithm to identify solar panel defects, you are engaging in AI, ML, and CV. In contrast, if you are translating words from English to Spanish using an algorithm, that is more likely to be AI or ML, not CV.