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5 easy-to-deploy applications of CV in Manufacturing

Photo by Ricardo Gomez Angel on Unsplash

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Personal Protective Compliance

Everyday deployments of Artificial Intelligence are taking the world by storm. Without us realising the extent of its use, we have made AI an intrinsic part of our daily lives. We have seen chatbots, image recognition software and surveillance systems seamlessly integrate computer vision into our lives.
In manufacturing, computer vision can be used to automate various tasks, such as quality control, defect detection, and process optimization. For example, computer vision systems can be used to inspect finished products for defects, identify problems in the manufacturing process, and guide robots in assembly tasks. Additionally, computer vision can be used to track and monitor the performance of equipment and processes, allowing manufacturers to optimize production and reduce waste. The use of computer vision in manufacturing can improve efficiency, reduce costs, and increase the accuracy and consistency of the manufacturing process. Here we shall explore CV-based deployments in the manufacturing process, that can optimise productivity and improve conditions for the management and the workers.

Quality Management

Computer vision can be used to improve the quality management process in manufacturing by automating the inspection of products for defects and non-conformities. Traditional quality inspection methods, such as manual inspection or inspection using simple machine vision systems, can be time-consuming, subjective, and prone to errors. In contrast, computer vision systems can analyze multiple images and videos of products at improved speeds and with a high degree of accuracy, allowing manufacturers to identify defects and non-conformities that might have been missed by human inspectors. This can improve the overall quality of the products and reduce the need for costly rework or repairs. Additionally, computer vision systems can be integrated into the manufacturing process to detect problems in real time, allowing manufacturers to identify and correct issues before they become major problems. This can help to reduce the number of defective products and improve customer satisfaction.

Personal Protective Compliance

Computer vision can be used to improve safety compliance in the workplace by automating the monitoring of work environments for potential hazards. For example, computer vision systems can be used to detect and alert workers or supervisors to unsafe conditions, such as spills, obstructions, or malfunctioning equipment. This can help to prevent accidents and injuries in the workplace. Additionally, computer vision can be used to track and monitor the behaviour of workers, such as their use of personal protective equipment (PPE) or adherence to safety protocols. Computer vision in safety compliance can help to create a safer and more efficient work environment. The importance of such compliance has increased after the outbreak of the Pandemic. CV has been used to ensure that people keep the required distance among themselves, and if they are wearing masks, gloves etc. This can help to ensure that workers are following safety guidelines and regulations, and can also provide data that can be used to identify and address any potential safety risks.

Product Assembly

Computer vision can be used to improve the efficiency and accuracy of product assembly in manufacturing. For example, computer vision systems can be used to guide robots in the assembly process, ensuring that components are positioned correctly and properly aligned. This can help to reduce the time and effort required for assembly tasks and can also improve the quality and consistency of the finished product. Additionally, computer vision can be used to inspect products during the assembly process to ensure that they meet quality standards. This can help to reduce the need for costly rework or repairs, and can also improve customer satisfaction. Overall, the use of computer vision in product assembly can help manufacturers to improve efficiency, reduce costs, and increase the quality of their products.

Product Identification

Computer vision can be used to improve the accuracy and efficiency of product identification in manufacturing and logistics. For example, computer vision systems can be used to automatically identify and track products as they move through the supply chain, allowing manufacturers and logistics companies to accurately track the location and status of products at all times. This can help to reduce the risk of lost or misidentified products, and can also improve the efficiency of the distribution process. Additionally, computer vision can be used to identify and classify products based on their characteristics, such as size, shape, colour, or markings. This can be useful for sorting and organizing products, as well as for automating tasks such as packing and labelling. Similarly, it can also be used to ensure that every product has a unique identification (like barcodes) to prevent any confusion at the point of sale. The use of computer vision in product identification can help to improve the accuracy and efficiency of product tracking and management, and can also help to reduce costs and improve customer satisfaction.

Asset Management

Computer vision can be used to improve the efficiency and accuracy of infrastructure management in the manufacturing unit. For example, in the transportation industry, computer vision systems can be used to monitor and maintain the equipment used in the unit. This involves monitoring the performance & the deliverables of the machines and noting any discrepancies in the functioning. Through this process, computer vision helps identify and address issues such as damage, wear and tear, or maintenance needs in rather a proactive manner. Hence the use of computer vision in infrastructure management can help to improve the efficiency, accuracy, and safety of infrastructure maintenance and repair.

The Bottom Line

In conclusion, computer vision is a rapidly evolving field with significant potential to transform the manufacturing sector. The potential applications are almost limitless, and as the technology continues to improve, we can expect to see even more transformative developments in the future. This is an important highlight of computer vision, as it gets better with every deployment, and can be re-trained to be better.

At Apture, we aim to integrate Computer Vision into everyday lives, so as to enhance our quality of life. If you are a builder who would like to know how to use Computer Vision to your advantage but lack the technical knowledge; we are your one-stop solution to all Computer vision-related needs. To read about different ways Computer Vision can be deployed in construction; check out this article.