AI Vision Inspection for Plastic Industry- Why is it Beneficial?

Is there any product that does not require at least some amount of plastic? Hardly any! In fact, for a lot of products, plastic is an integral manufacturing material. Take automobiles, for instance, to produce an automobile, high-performance plastic such as Polypropylene, Poly-Vinyl-Chloride (PVC), Polyethylene (PE), etc. are used in volumes. This means, if the quality of the plastic used in producing the automotives is defective, the quality of the entire product will be compromised. 

Given how plastic is the choice of material for most industries, the manufacturing process to produce plastic should be subject to stringent vision inspection for quality assurance. Manufactures are going beyond the conventional Human and Machine vision system to augment their smart factories with Artificial Intelligence (AI) based Computer Vision technology. 

Benefits of AI Computer Vision for Plastic Industry

1 Highly accurate defect detection 

While Machine Vision detects only obvious defects, a robust technology like AI Computer Vision identifies, analyzes, predicts, and eliminates microscopic defects such as scratch, dirt, colour & discolours identifications, patches, flash, crack, missing parts, short-fills, vacuum voids, and other anomalies on both matte and glossy surface of the plastic, irrespective of the image orientation.

2 Shorter Cycle time

Each product undergoes various process; assembling, painting, welding, etc. If done manually, the production process becomes laborious and time-intensive. The cycle time for each station becomes longer. AI computer Vision inspects every process with high precision and identifies issues in the process at the right time, making cycle time shorter and improving the production capacity. 

3 Real-time data tracking 

The Machine Vision system stores data in a raw image form, making it inconvenient to access. AI Computer Vision not only provides the user with meaningful findings but, also stores the data in a binary format. It is easy to access and track real-time data and the user will get a detailed report on all the findings, including the defects he wants to know about in particular. The report can be availed anytime, anywhere. 

4 Flexible to manufacturers’ needs

The manufacturer may not want all the functions of the solution. For instance, a plastic manufacturer may not want surface defect detection. He may only want to measure a specific metal cable that protrudes out of their pipes. AI Computer Vision system is modular and can be trained to perform specific actions. 

Smart factories in the plastic industry are highly digitalized and the combination of production, communication, and information technologies have improved the manufacturing process significantly. It’s about time smart factories experience a radical transformation by deploying AI-backed Computer Vision technology over Human and Machine vision to achieve a desirable quality of products, reduce operational costs, and improve employee productivity. 

AI Computer Vision solution by Lincode Labs

Lincode’s AI computer Vision Technology, LIVIS, is a patent-pending technology that offers AI-based Computer Visual Inspection, Clear-Cut Dimension Measurement, High-Speed Optical Character Recognition, Precise Object Detection, Systematized Object Tracking, and more. 

Connect with us at info@lincode.ai to know more about deploying our solution.

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