Tag Archives: manufacturing

Future of Manufacturing: Rimon Technologies Captures Shop Knowledge



In today’s fast-paced and ever-evolving industrial landscape, the retention and transfer of knowledge have become critical challenges for organizations. A conversation with Kordian Caplazi from Rimon Technologies sheds light on an innovative approach to address this issue through the digitization of knowledge, particularly in manufacturing and service sectors. As experienced workers retire or transition to different roles, companies often face significant knowledge gaps that can jeopardize operational efficiency. Rimon Technologies offers a solution that not only preserves vital expertise but also makes it accessible to new employees, thereby ensuring a smoother transition and continuity in operations.

Digitizing Knowledge to Bridge Gaps

The core of Rimon Technologies’ approach lies in capturing the tacit knowledge of seasoned workers before it is lost. By utilizing state-of-the-art body cameras, experienced employees can record their daily tasks without interruption. This method allows for the seamless documentation of complex processes and operations, which are often difficult to articulate in written form. The captured videos are then processed and organized into a searchable database that new employees can access. This innovative system transforms the learning curve for newcomers, allowing them to retrieve concise, relevant video snippets instead of sifting through lengthy recordings. This efficiency not only saves time but also enhances the learning experience, making it easier for new engineers to adapt to their roles.

The integration of artificial intelligence (AI) into this knowledge-capturing system further elevates its effectiveness. AI processes the recorded video content, understanding both the actions of the operator and their verbal explanations. This capability enables the system to create a searchable database where specific tasks can be easily located. Additionally, the AI can interpret questions posed by users in various languages, making the platform accessible to a diverse workforce. This multilingual support is particularly valuable in global industries where teams may comprise individuals from different linguistic backgrounds.

Data Accuracy is Essential

Maintaining the accuracy and relevance of the information within this system is paramount. Rimon Technologies ensures that the content is validated by industry experts, creating a feedback loop that allows users to report inaccuracies or gaps in the information. This iterative process not only enhances the reliability of the knowledge base but also fosters a culture of continuous improvement within organizations. By empowering employees to contribute to the knowledge repository, companies can create a dynamic learning environment that evolves alongside their operations.

The impact of digitizing knowledge extends beyond individual companies; it has the potential to transform entire industries. As manufacturing and service sectors increasingly embrace technology, the ability to quickly onboard new employees and bridge knowledge gaps will become a competitive advantage. Organizations that invest in such knowledge-capturing systems can expect to see improved operational efficiency, reduced training costs, and enhanced employee satisfaction. Moreover, as industries face the challenges of an aging workforce, the need for effective knowledge transfer becomes even more critical.

Conclusion: Rimon Technologies Improves the Knowledge Transfer Process

In conclusion, the conversation highlights the pressing need for organizations to digitize their knowledge to bridge gaps created by workforce transitions. Rimon Technologies exemplifies a forward-thinking approach that leverages technology to capture, preserve, and disseminate expertise. By doing so, they not only mitigate the risks associated with knowledge loss but also empower new employees to thrive in their roles. As industries continue to evolve, the importance of knowledge digitization will only grow, making it an essential strategy for future success.

Interview by Don Baine, The Gadget Professor.

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EXANODIA: Pioneering AI for enhanced mechanical testing @ CES 2024



EXANODIA mechanical testingNearly every industry uses machinery. The success of those machines is crucial to the functioning of the business in that industry. For example, everything that is mass-produced has a failure rate. Machines that are used for any period could fail. Being able to test machinery to ensure proper behavior is essential. EXANODIA is automating the process of testing machines to prevent future issues.

EXANODIA’s testing automation

AI software has revolutionized various industries, and one area where it has made significant advancements is in industrial inspection. Houcine Mansour, Founder and CEO of EXANODIA, discusses how AI software developed by the company, the first French pure player in non-destructive testing, is improving the process of detecting defects in mechanical equipment.

In the medical field, medical imaging is used to detect pathologies in the human body. Similarly, in industries such as nuclear power plants, oil and gas refineries, and aerospace, it is crucial to inspect equipment for defects. This is where EXANODIA’s AI software comes into play. By leveraging artificial intelligence, the software can automatically detect defects in the equipment, making the inspection process more efficient and reliable.

AI improves testing results

The key advantage of AI software in industrial inspection is its ability to address the shortage of human resources. With a limited number of human operators available, it becomes challenging to meet the demands of non-destructive testing and inspection. EXANODIA’s software aims to alleviate this issue by assisting human operators in inspecting equipment more rapidly and with better quality results, all at a lower cost.

While Don questions whether AI is better than human operators, the focus of EXANODIA’s software is not to replace humans but to augment their capabilities. Due to the scarcity of human resources, operators may lack the necessary competencies and expertise to detect defects accurately and efficiently. By training the AI models using the knowledge and expertise of experienced operators, EXANODIA’s software can provide better quality results compared to less-trained individuals.

EXANODIA’s first product

During the CES event, EXANODIA showcased its first software, which detects defects in radiographic images. Similar to how a physician examines a radiograph of the human body, EXANODIA’s software can analyze radiographic images of equipment and automatically identify defects. This technology has applications in various industries, including nuclear, oil and gas, and aerospace.

The conversation also highlights that EXANODIA’s software is currently in the proof-of-concept stage, with plans to partner with large companies in the industrial sector for implementation. The purpose of their presence at CES is to connect with potential partners and investors who can help scale up their technology and develop it further to meet specific industry needs.

The significance of AI software in industrial inspection lies in its potential to cut bottlenecks in the manufacturing and maintenance processes. By streamlining the inspection and testing procedures, companies can save time, reduce costs, and enhance safety. This technology offers a synergy between the capabilities of AI and the requirements of industries, making it a valuable tool for improving industrial inspection practices.

Conclusion

In conclusion, the use of AI software in industrial inspection has the potential to revolutionize the way defects are detected in mechanical equipment. EXANODIA’s software exemplifies this by providing faster and more reliable results, addressing the shortage of human resources, and offering cost-effective solutions. As the industry continues to embrace AI technology, the future of industrial inspection looks promising with increased efficiency, accuracy, and safety.

Interview by Don Baine, The Gadget Professor.

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