Workshop on solutions for robotics, automation and artificial intelligence

On the morning of March 10th, 2021, the Faculty of Mechanical Engineering cooperated with Solomon Company to organize a seminar on solutions for robotics, automation, and artificial intelligence. Attending the seminar, there was Mr. Le Thai Son - Representative of Solomon Company, Dean of Faculty of Mechanical Engineering, and interested lecturers.

Overview of the workshop

Mr. Le Thai Son - Representative of Solomon Vietnam introduced to the seminar a lot of smart solutions, especially using artificial intelligence to enhance the power of 3-dimensional image processing. By thoroughly applying deep learning technologies (Deep Learning), Solomon came up with a complete 3-dimensional image processing system. Solomon's AccuPict solution has a 3-dimensional image processing system that allows robots to automatically recognize and locate objects with high accuracy in a short period of time. This solution has been trusted and selected in many different industries such as automobile, mechanical engineering, food, beverage, medical ... He also introduced Solomon company, solutions, Solomon 3D camera, and Accupick software, fields of application, product description videos, and projects deployed in factories all over the world.

Mr. Le Thai Son - Representative of Solomon Vietnam introduced to the seminar a lot of smart solutions

With the continuous development in the era of technology 4.0, the seminar has conveyed a lot of useful and practical information to lecturers and scientists about intelligent production methods applying robotics and artificial intelligence. Besides, Solomon also showed the need for training and recruiting candidates in this field.

At the seminar, lecturers in the faculty had discussions and questions about automated robotics and artificial intelligence, thereby creating a premise for the faculty to build robotics and artificial intelligence training programs in order to supply society with high-quality engineers in the near future.