TÜBİTAK Support for BTU's 'Artificial Intelligence'

The Artificial Intelligence Ecosystem Call Signing Ceremony, which aims to provide artificial intelligence-based solutions to the problems of companies by benefiting from the knowledge of universities, was held with the participation of the Minister of Industry and Technology Mehmet Fatih Kacır.

At the ceremony held at TÜBİTAK Marmara Teknokent, 17 consortiums whose projects were entitled to receive support signed.

Among the 17 consortiums, Bursa Technical University, which is one of the first universities that come to mind when 'artificial intelligence' is mentioned, also succeeded in taking part. The project titled "Development of Steel Surface Nonconformity Control System with Pre-Trained Deep Learning-Based Anomaly and Object Detection Models" was signed by BTÜ Rector Prof. Dr. Naci Çağlar and stakeholders scored.

Artificial Intelligence Ecosystem Call; It aims to increase the productivity of our domestic companies producing worldwide, by developing joint projects with universities and technology companies, to develop high value-added products and to increase their competitiveness in the global market. In the call program launched by the Ministry of Industry and Technology and TÜBİTAK last year, BTÜ was entitled to receive support in 2022 with the project it developed with Matay Automotive. Bursa Technical University, which focuses its scientific studies on artificial intelligence, smart systems and robotics, became one of the few universities that succeeded in receiving support for two consecutive years within the scope of the call program. Thus, BTÜ provided Bursa with 27 of the 2 project supports given to the leading companies of our country's industry in the field of artificial intelligence in the last two years.

CONGRATULATIONS FROM MINISTER KACIR
Speaking at the ceremony, Minister of Industry and Technology Mehmet Fatih Kacır pointed out that thanks to the support program, we will all witness more value being produced from data in our country with artificial intelligence applications in the coming period, and said, "I congratulate all stakeholders who applied to our calls and were entitled to be supported. "You play an important role in developing technology and strengthening the national artificial intelligence ecosystem with open innovation and co-development approach, beyond just finding solutions to your own technology needs," he said.

IN 2 YEARS, 27 OUT OF 2 PROJECTS ARE BY BTÜ

Together with external stakeholders, BTÜ Electrical-Electronics Engineering Department Faculty Members Prof. Dr. Hakan Gürkan, Assoc. Dr. Cemal Hanilçi, Dr. Faculty Member Gürkan Aydemir and Dr. BTÜ Rector Prof. noted that they attach great importance to the project in which Adem Avcı will take part. Dr. Naci Çağlar, “TÜBİTAK Artificial Intelligence Ecosystem Call; In the field of artificial intelligence, it is of great importance in the process of creating national products and solutions. As BTÜ, we are very proud to have been successful in receiving this important support for two years in a row. Last year, we succeeded in writing 10 out of 1 projects that received support from the call across the country, and 17 out of 1 projects that received support again this year. "We have full faith that these successes will continue," he said.

WHAT WILL BE THE CONTRIBUTION OF THE PROJECT?

The project titled "Development of Steel Surface Nonconformity Control System with Pre-Trained Deep Learning-Based Anomaly and Object Detection Models" was also entitled to be supported within the scope of TÜBİTAK Artificial Intelligence Ecosystem 2023 Call. In the project, real-time, low-cost monitoring of both surfaces will be possible, which can be used in slitting lines for the steel industry; It is aimed to develop a high-performance nonconformity detection system based on artificial intelligence and computer vision that is protected against environmental conditions such as temperature, impact and dust. The project output will contribute to reducing nonconformities, increasing production efficiency, thus reducing wastage, and reducing the amount of carbon emissions from production. At the same time, it is envisaged that the project partners will serve the acquisition of digital transformation and artificial intelligence capabilities and lead other studies in the sector.