The Role of Computer Vision in Industrial Transformation, from Food Production to Digital Security
Jakarta — The development of artificial intelligence (AI) technology continues to drive various innovations across multiple industrial sectors. One technology increasingly being utilised is computer vision, the ability of a computer system to recognise and understand visual information from images and video.
This technology now plays an important role in supporting industrial transformation, from digital security to quality control processes in the food sector.
As this technology develops, the application of computer vision has expanded across various sectors. This technology enables digital systems to identify objects, recognise visual patterns, and assist in automatic decision-making processes in industrial environments.
Understanding Computer Vision Technology and How It Works
Computer vision is a branch of AI technology that enables computers to recognise, analyse, and understand visual information from images and video. Through this technology, computer systems can identify objects, detect patterns, and interpret various visual elements automatically.
The technology works by utilising machine learning algorithms and artificial neural networks to process large volumes of visual data. Systems are then trained using various examples of images or videos, enabling them to recognise specific objects with increasingly high accuracy.
As AI technology develops, computer vision capabilities have become increasingly sophisticated. Systems are not only able to recognise objects simply, but can also perform more complex visual analyses, such as facial recognition, reading text in images, and detecting various conditions in industrial environments.
Application of Computer Vision Across Industrial Sectors
The development of computer vision technology has opened various opportunities for utilisation across many industrial sectors. With its ability to recognise and analyse objects visually, this technology is able to help increase efficiency, accuracy, and speed in various work processes.
One well-known example of application is in face recognition-based security systems. This technology enables systems to recognise a person’s face through a camera, which is widely used in digital security systems, device access, and surveillance in public areas.
Additionally, computer vision is also increasingly being utilised in the food industry to assist in product quality control processes, such as detecting the shape, colour, and condition of a product automatically. The application of this technology continues to develop across various other sectors, such as healthcare, transportation, and the retail industry, making it one of the important technologies driving digital transformation across various fields.
Future Development Potential of Computer Vision
As AI technology develops rapidly, computer vision capabilities are expected to continue developing and be applied increasingly across various fields. This technology not only helps increase work efficiency, but also opens up opportunities for new innovations across various industrial sectors.
In the future, the use of computer vision is predicted to become more widespread, from intelligent transportation systems, technology-based healthcare services, to the development of automation systems across various industries. With support for increasingly advanced data processing, this technology is expected to provide more accurate and efficient solutions for various human needs.
Cyber University, renowned as Indonesia’s first fintech university, continues to strive to present technology-based education relevant to developments in the digital industry. Through various learning innovations and strengthening of technology competencies, Cyber University encourages the emergence of a generation of digital talent capable of adapting to rapid developments in artificial intelligence technology.
As the application of computer vision expands across various sectors, Cyber University’s Information Technology Study Programme is committed to developing student competencies in the fields of artificial intelligence, computer vision, and digital image processing.
Through practice-based curricula, applied research projects, and collaboration with technology industries, the Information Technology Study Programme encourages students not only to understand AI concepts, but also to be able to design innovative solutions relevant to community needs. This approach is part of efforts to produce digital talent ready to contribute to national technology transformation.
Additionally, Cyber University also offers the Company Learning Programme (CLP) 3+1. Students study for three years and complete a one-year internship in industry. Through this programme, Cyber University graduates are easily absorbed into the job market because they already have a portfolio and work experience.