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Smart factories with Generative AI in manufacturing sector: The viAct Approach

Smart factories with Generative AI, Video Analytics in Smart Factories, Generative AI in Manufacturing Sector, Generative AI
Smart factories with Generative AI in manufacturing sector: The viAct Approach

Generative AI plays a significant role in the manufacturing sector, particularly within the context of Industry 4.0. The fourth industrial revolution has been well acquainted in the markets of Singapore, Saudi Arabia, Hong Kong and Malaysia paving way for more technological incorporation. AI has become a catalyst for transformative changes across multiple sectors and very evidently in the manufacturing industry. In the context of Industry 4.0, generative AI is often integrated with the Internet of Things (IoT) to create smart manufacturing environments. This integration enables real-time monitoring, data exchange, and decision-making based on insights generated by AI algorithms. Generative AI is applied to enhance collaboration between human workers and machines in Industry 4.0.


This includes designing interfaces, considering ergonomic factors, and creating adaptive manufacturing systems that seamlessly integrate human input. Generative AI in Manufacturing aids in optimizing energy consumption and promoting sustainability in manufacturing operations. By analysing energy usage patterns, manufacturers can identify opportunities for efficiency improvements and reduce environmental impact. Generative AI is employed for predictive maintenance in Industry 4.0, predicting when machinery or equipment is likely to fail.

By analysing historical data and real-time sensor data, manufacturers can schedule maintenance activities proactively, minimizing downtime and optimizing asset management. In summary, generative AI in manufacturing plays a pivotal role in the evolution of the manufacturing sector in the context of Industry 4.0. Its applications span across the entire value chain, from design to increased efficiency, innovation, and competitiveness in modern manufacturing environments.


viAct’s advanced module integrates generative AI in manufacturing sector to help undertake the Industry 4.0 specifications minutely. viAct's generative AI plays a pivotal role in revolutionizing maintenance workflows, particularly in the area of predictive maintenance. This cutting-edge technology positions itself as a strategic asset for manufacturers, enabling them to proactively address equipment and machinery issues before they lead to unplanned downtime, thus optimizing operations and maximizing overall efficiency.

viAct's generative AI in manufacturing offers recommendations for potential solutions and proposes service plans when problems are detected. This predictive approach not only helps maintenance teams rectify issues promptly but also contributes to the overall make a scenario-based analysis of the site. An additional advantage of viAct's generative AI technology lies in its user-friendly interface, allowing manufacturing engineers to interact with the system using natural language and common inquiries. This accessibility makes the technology inclusive for the current workforce, facilitating seamless integration into existing workflows. Moreover, this user-friendly aspect makes viAct's technology an attractive proposition for new employees entering the manufacturing sector.

While viAct’s generative AI in manufacturing is in line with the Industry 4.0 requirements, here are the key areas where it can highly make an impact:

Generative AI within viAct holds great promise for enhancing manufacturing safety. viAct, with its advanced AI capabilities, can leverage generative AI to address and mitigate safety challenges in manufacturing environments. The use of AI can cause 95% reduction in fatal slips and trips viAct’s Generative AI can analyze human behavior within the manufacturing environment. By understanding patterns of movement and interactions, it can identify unsafe practices or deviations from safety guidelines. This analysis allows for targeted interventions to improve worker safety by PPE detection or improper use of safety ropes. Unstable equipments along with unprotected barriers can be detected using it.

viAct can analyse video feeds and sensor data to ensure that employees are wearing the required safety gear, promoting a safer working environment. One of its USP is the analysis of near-miss incidents where viAct's generative AI can identify potential areas of concern or recurring issues that may lead to accidents. This allows for targeted safety improvements and the implementation of preventive measures.

Generative AI within viAct's solutions holds tremendous potential for boosting manufacturing productivity. viAct, with its advanced AI capabilities, can utilize generative AI to optimize processes, streamline workflows, and enhance overall efficiency in manufacturing. Automated fleet management in viAct’s system allows to optimise the driving speed and frequency. The counting of operating hours allows to create effective pathways for movement. One essential aspect of it is detecting operator distraction. viAct’s generative AI model excels in recognizing patterns associated with attentive and engaged behavior. It analyses operator movements, eye gaze, and other relevant features to establish a baseline of normal activity. It can impact on productivity levels by detecting signs such as prolonged periods of inactivity, unusual movements, or a lack of engagement with critical tasks.

Large Language Models (LLMs) for manufacturing industry can play a significant role in enhancing communication, efficiency, and knowledge management in the manufacturing industry when integrated into chatbot applications. viAct’s LLMs enable chatbots to understand and process natural language queries, allowing users to interact with the system in a conversational manner. LLMs enable chatbots to understand complex instructions for process automation. It can be used to initiate workflows, request document retrieval, or automate routine tasks through conversational interactions with the chatbot. The consultations with the chatbots can be viewed in a single platform viHUB where the data insights are clearly visible for making further decisions in the workflow.

viAct's incorporation of generative AI can significantly advance manufacturing safety by predicting and preventing risks, automating safety alerts, analysing human behaviour, and promoting a culture of continuous improvement. The integration of generative AI into viAct's safety framework reflects a commitment to leveraging cutting-edge technology for the well-being of workers and the overall safety of manufacturing environments.


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