Production - business changes due to robots and virtual people

Technology to design virtual human versions

Digital humans, or virtual humans, once a concept found only in science fiction films, have become a reality thanks to advances in 3D animation technology and artificial intelligence (AI). ). Emergen Research's data report shows that the global market of virtual people will increase from 10 billion USD in 2020 to about 530 billion USD in 2030.

According to Harvard Business Review, virtual people are created in the form of a computer operating in three-dimensional space, using AI technologies such as computer vision, virtual reality (VR) and augmented reality (AR). ) to improve interactive and computational experiences and enhance opportunities to learn and adapt to changes in many industries, occupations and fields in the market.

A typical example is the virtual human design platform Vyond. Technology on Vyond allows users to simplify the construction of virtual actor images with the functions of selecting appearance, personality, age, name, and voice. At the same time, users can add facial expressions, dialogue, set and adjust animation backgrounds, and edit speech to create convenient online interactive videos and games.

Or the dizim.ai platform provides solutions for content creators and influencers with the ability to create videos with AI virtual people in just a few minutes. 5 minutes, the current cost for each video produced on dizim.ai is 2 USD. In addition, new users can also get a 14-day free trial of the platform's features to experience video creation.

In commercial business activities, virtual people are also chosen as brand ambassadors or representatives of a company or organization to help communication work more effectively by expressing themselves in a unique way. consistent and easy to recognize. According to the United States Chamber of Commerce (USCC), virtual people are used in many fields, from entertainment to healthcare, to enhance experiences and improve outcomes.

In general, applying virtual human modeling can improve the realism and efficiency of virtual manufacturing, which has been widely researched and applied in manufacturing industries. By using 3D models, incorporating machine learning technology allows virtual humans to have natural language processing capabilities to understand voice commands and respond to users.

However, the process of analyzing questions and answering quickly is still limited due to the data source fed into the machine learning system and language integration capacity. Many people are hoping that the growing capacity of machine learning will make robots respond better in the near future.

Robotic manufacturing applications

Over the past years, the concept of human-machine interaction has received much attention to achieve hybrid automation in manufacturing, through cooperation between humans and robots. Digital simulation technologies simplify industrial processes. According to UK-based technology market research agency Interact Analysis, the global industrial robot industry will reach $12.1 billion by 2022 and is expected to grow steadily at a compound annual growth rate (CAGR) of 8.8% from now until 2027.

As part of the national AI development program with an investment budget of more than 440,000 USD, Ella Robot Police in New Zealand deployed in 2020 has been applying AI technology to maintain daily interactions with people. residents and support other community activities. In addition, many social enterprises are using robots in humanitarian projects, typically in the case of robots helping people with disabilities in communication and language translation activities.

One of the defining events marking a breakthrough in the industrial robot manufacturing industry combined with AI is the robot Sophia being granted citizenship like a human by the Saudi Arabian Government on October 25, 2017. . With enormous potential for integration across industries on a global scale, robotics powered by AI technology will continue to push the boundaries between humans and robots.