Turkish engineers-developed AI system ‘Covision’ deployed in Japan
Covision system that was developed by the Radarsan. (Photo via TRT)
In a significant advancement, Turkish engineers have developed a highly sophisticated artificial intelligence system named ‘Covision,’ now being utilized in Japan according to a report by Turkish broadcaster TRT.
The system, designed to minimize errors in manufacturing processes, integrates advanced AI with robotics to revolutionize quality control.
Rising global demand for precision
As countries increasingly prioritize minimizing errors in production, optimizing costs, enhancing energy efficiency and maximizing personnel productivity, the need for advanced systems like Covision has become more critical.
Historically, quality checks in factories were primarily manual, but the Covision system, developed by Turkish engineers, promises to change that paradigm.
System integration, global impact
Developed by Radarsan, a subsidiary of Türkiye’s Defense Industry Presidency’s SSTEK, Covision represents a major leap in digital production. Although Radarsan is primarily known for its domestic traffic radar systems, the company has expanded into other high-tech solutions.
Covision, a result of its advanced AI capabilities, has already proven effective in the factories of one of the world’s largest automotive manufacturers since 2018.
Serhat Dogan, Co-Founder and General Manager of Radarsan, describes Covision as a “digital production concept” aimed at fully automated quality control processes.
The system ensures that products are thoroughly inspected before leaving the factory, reducing the likelihood of errors and allowing skilled personnel to focus on more value-added tasks.
Protecting ‘made in Türkiye’ brand
Türkiye has seen significant growth in high-tech exports, especially in the defense and aerospace sectors. Covision plays a crucial role in safeguarding the ‘Made in Türkiye’ brand by ensuring that exported products meet the highest quality standards.
The system records every inspection point in real time, creating a detailed product lineage that can serve as evidence in case of disputes over product quality.
Dogan emphasizes the importance of detecting and addressing any potential errors before products leave the factory.
By transferring the quality control process from humans to AI-based systems, Covision not only enhances reliability but also reduces logistical costs associated with correcting post-production errors.
