What is Computer Vision?

Computer vision is the technology that allows computers to interpret digital images and videos. The technology involves capturing images and videos from the real world, processing and analyzing them to provide useful reports with analytics, and perform required operations. It is immensely important from an engineering perspective as the software will be able to efficiently do critical calculations that were previously done manually, preventing miscalculation and human errors.

The Areas Where Computer Vision Technology Is Completely Taking Over –

Document Capture – Previously, only documents with text could be captured and interpreted. But with computer vision technology, images can be scanned and all the proper dimensions and data from the image can be extracted perfectly. For example, an architectural design can be captured, processed, and analyzed to provide all the dimensions and other relevant properties. As a matter of fact, with advanced software, 2D designs can be converted and represented in 3D models for all constructional works.

Computer vision can also read images of objects and extract different texts and labels from them. For example, it can correctly index different items up for sale and generate barcodes for each product. Additionally, with enhanced document capture technology, computer vision allows for the storage of computer-generated electronic documents from the data on real-life objects. That is what true automation looks like. Thanks to high-level digitization, there is no need to prepare manual documents and forms. Instead, forms can be created, processed, and stored by the system itself. The technology can read medical texts, prepare reports and invoices, and store information for future use. Similarly, it can read labels from bottles and containers and extract text from them.

Investigation – Computer vision is playing a major role in crime scene reconstruction. By interpreting low-quality surveillance videos and images, investigators can project a model of how the crime was likely committed. Computer vision technology can also recognize objects and track them down. Furthermore, the advanced software can also analyze an object’s position and provide useful information, which makes it useful in learning theory, image restoration, and motion estimation.

Experimentation and Research – Computer vision technology has been a breakthrough for scientists who can use advanced software for research and experimentation. With image and video capture, researchers can access previously unavailable information about the subject and outcomes of a study. Image capture helps researchers make precise calculations, take informed steps, and reach their end goals by providing detailed information.

Industrial Manufacture – Computer vision can automatically inspect products to detect manufacturing defects. Since it can detect motion, computer vision can also inspect machine quality and monitor the workforce. Most importantly, it can produce models from ideas and 2D designs so that employees can work on them.

What’s more, it is slowly taking over all manual labor and machinery sectors. It is actively involved in industrial geometric works, scientific research, virtual modeling, and advanced technologies such as augmented reality, 3D projection, pattern recognitions, navigations, and image and video processing.