Deploying AI and Computer Vision in Manufacturing Operations

Posted By :Anubhav Garg |24th July 2020

Deploying AI and Computer Vision in Manufacturing Operations

 

 

Artificial intelligence (AI) has the potential to expand human capabilities, and computer vision technology focuses on improving the quality of manufacturing operations. AI and computer vision in manufacturing are offering dynamic applications to accelerate repetitive and cognitive processes while increasing operational efficiency.

 

AI and IoT also will be effective in all areas of a manufacturing organization from fraud prevention to predictive ordering and opportunity assessment. We, at Oodles, as an emerging artificial intelligence development company, present some intelligent and dynamic applications of AI and computer vision to automate critical manufacturing processes with ease and accuracy. 

 

AI and Computer Vision in Manufacturing: Applications & Opportunities

 

Some of the key ways of AI is changing manufacturing and powering it into the next industrial environment:

 

1. Quality check by computer vision

 

An AI/IoT based camera checks and analyze pictures in real-time to complete product quality and inspect every corner of the product like material, finishing, design, size, shape, and many more aspects.

IT helps the organization to compete for the market in terms of quality and also increases trust and customer satisfaction.

 

As a well-established Computer Vision Development Company, Oodles AI deploys deep neural networks, CNNs, and RNNs to build function-specific face and object detection applications. 

 

2. Intelligent maintenance by AI

 

Image credits: https://goggle.com/images 

 

AI makes use of algorithms to predict failures of a system or machine to prevent failures and prevent downtimes in the manufacturing units by collecting data of every working equipment and its time to complete its task by high load units. All of this data is collected and stored in data sets of analyzing purposes.

Now the Ml an AI-based technology predicts the results and provides performance issues and also solutions that can be fixed to increase productivity so that the operation can without any delay and non-compromise on quality also.

 

3. PPE compliance and workers safety

 

Intelligent access control and computer vision systems and image analysis algorithms collect and analyze video footage in real-time to check the ID of workers and checks if a worker violates guidelines then it automatically alerts safety managers so that to keeping workers safe which are installed at the entrance and also prevents the unauthorized access.

 

 

Conclusion

 

AI transforms and shifts the manufacturing industry to the new phase i.e manufacturing industry 4.0. The AI specifically helps improve production costs and product reliability also changing the company's think about how they engage their customers, empower their employees, and optimize their operations.

 

 


About Author

Anubhav Garg

He is an Intellective Web Application Developer. He is good in NodeJs, Angular & MongoDb with knowledge in AWS. He is always motivated to learn new things.

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