When there is previous data from maintenance logs, we can use this to determine and forecast how a machine will react under a future load. AI will help you bridge the gap between analysis of what happened earlier and how to respond to it next. With this, you can make accurate decisions.

RPA will automate software processes such as data extraction, form completion, file migration, and processing. Although these duties are less visible in production, they are essential in inventory management and other business operations. If any of your departments need software to be installed & automated, then RPA is the right tool.

Any enterprise will be in a process towards meticulous attention to detail, compounded by the fact that Quality assessments are a manual process. Manual assessments require professionals with high engineering skills to check whether they're correct and if all aspects were adequately designed. The assessment may be done automatically and in real time by strategically putting cameras around the production floor.

AI helps manufacturing units to carry out analytical activities based on supply chain problems and logistics solutions. Artificial intelligence in the supply chain enables your Factory to collect relevant past and present data from a network of linked devices to facilitate accurate decision-making analytics. Supply chain data analysis aids in optimizing workflow by providing predictions, identifying inefficiencies, and driving innovation.

Data Preparation in ML improves productivity and efficiency by automating assembly lines, quality checks, and predictive maintenance. The visual situations must be recognized using computer vision training data to train robots in different departments.

How many people come in and go out? Can you always keep a keen eye on them? No, because of human errors, it's not very easy. That's when AI will come into the picture to help you with a clean statistical analysis. You can keep track of your Factory's footfall and work effectively.

Computer vision may assist in stock counting, inventory management, and automating and alerting managers about the inventory shortage of production materials. Human errors may be avoided with computer vision technologies. CV helps in beaming a way to ensure quality control and inspection. AI/ML models are trained for automated product assembly.

Image Recognition : Humans can recognize and identify things, people, animals, and locations in any image. Image recognition integrates deep learning methods to enable numerous real-world use cases in AI. 

AI relies on computer vision to properly comprehend the world. Picture recognition uses technology to assist computers in identifying, labelling, and categorizing aspects of interest in an image.

Object Detection : With Our natural neural networks, we identify, categorize, and interpret pictures using our prior experiences, acquired knowledge, and intuition. Similarly, an artificial neural network assists machines in identifying and classifying pictures. However, they must first be trained to detect things in images.

The model has to be trained using deep learning techniques on various picture datasets before the object identification methodology can be used.

Image Segmentation : AI models help you identify errors and defects when the product is in the stage of Quality Check. We train our models to detect and segment images into different aspects according to industrial requirements. Image segmentation assigns each pixel in the image to a class, segmenting both the defective and non-defective parts of the product.

At DTC, we can build a best-in-class AI model to assist users in automating aspects of the image segmentation process. It helps you to speed up efforts while maintaining the quality of products.

Human Posture Detection :

This may be a very useful product in many industries. You don't know what your workers are doing in their departments. In a factory or a manufacturing unit, you cannot monitor whether people are working or not all the time. Posture Detection Algorithms help you monitor and track their activities to improve productivity.

For instance, AI can help you analyse if someone is working or just sitting idle or away from the workplace. It enables you to investigate who is working, what is the average time of their work and who is not working regularly.