Safety through new eyes - How computer vision revolutionizes Oil and Gas safety
Welcome to the second edition of TeQ Shield? Chronicles. In this issue, we look at computer vision and how it's revolutionizing the Oil and Gas industry.
In our first article, we discuss the significance and applications of computer vision, a field within artificial intelligence (AI) that enables computers to understand and interpret visual data such as images and videos. It highlights how computer vision works similarly to human vision but relies on machine learning algorithms and neural networks to analyze and recognize patterns within visual inputs.
Computer vision finds applications in various industries including energy, manufacturing, and automotive, with the market expected to grow substantially. The process involves training algorithms with vast amounts of labeled data to enable computers to recognize objects and patterns accurately.
According to this article by IBM, two key technologies, deep learning and convolutional neural networks (CNNs), play pivotal roles in enabling computers to understand visual data. Deep learning algorithms allow computers to learn from data without explicit programming, while CNNs help in breaking down images into pixels and making predictions about their contents.
The article also traces the history of computer vision and discusses how advancements in neural networks and deep learning have significantly improved the accuracy of computer vision systems over time.
Real-world applications of computer vision include automated defect detection in manufacturing, facial recognition, and object tracking in self-driving vehicles.
Additionally, the article explores various computer vision tasks such as image classification, object detection, object tracking, and content-based image retrieval, each serving specific purposes across different domains. It emphasizes the importance of defining clear objectives for computer vision applications to ensure their effectiveness and relevance. You can read the full article here.
In our second article, we take a look at the various high value applications of computer vision technology in Oil and Gas. Some of the key applications discussed include:
You can read the full article here.
While it is obvious that there are many ways computer vision can be used, here's a real-life case study of how United Safety used computer vision to help clients integrate and automatically shut off the hydraulic fracturing pumps if workers were detected in the exclusion zones during pumping operations.
There are numerous applications on how computer vision can be used to improve safety and operations in Oil and Gas. The video below provides a great overview of how computer vision is transforming safety services for Oil and Gas.
No technology is perfect. That includes computer vision. We take a quick look at the main advantages and also the disadvantages of implementing computer vision. Key advantages include:
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Main disadvantages of computer vision include:
If you're looking for computer vision solutions that can improve the safety and productivity of your workers, United Safety can help you. For more information, reach out to us at [email protected]
Lastly, it's quiz time. Let's do a quick check on how much you know about computer vision technology. Take the quiz and find out for yourself.
Stay safe and see you in the next issue where we look at gas detection in the digital era.
Your Safety Partners,
United Safety
References:
(1) What is computer vision?, assessed on 18.3.2024 <https://www.ibm.com/topics/computer-vision>
(2) Gaudenz Boesch, assessed on 18.3.2024, Computer vision in oil and gas, <www.visio.ai/applications/computer-vision-in-oil-and-gas>
(3)DeepX, video uploaded on 19.7.2021 <https://www.youtube.com/watch?v=5HgGWfHa9w8>