The people or the management handling the computer vision technology should have a good understanding of the processing system involved.

Eyesight is a gift to humankind, so is computer vision to the AI sector. Computer vision is the form of machine learning-powered by AI that unravels the world to look beyond human thoughts. The system has the ability to understand, analyse and extract accurate data from the source. It can process large data and scan through files better than a human which leads to tracking the crucial information. The features of computer vision in the business sector could take the industry to an unpredicted height if the technology is used wisely.

How computer vision functions?

Generally, the process of turning an unstructured data or a copy involves three steps: acquire images from a credible source, process with the computer knowledge and algorithm, analyse and understand the piled up data and sort it in accordance with the need. The gathering of data in image or video form involves a collection of spreadsheets of data on people, product, assets and documents that act as the backbone of the final script. The computer vision finds the unstructured format and goes through every single detail before reacting to the data and images they see unlike humans sense to overview it.

Detect physical errors: A lot of business like manufacturing sectors and production houses involves physical component like machinery. The computer vision stays a step ahead in the detection of problems in machinery. It alarms the weak mechanism that could cause a machine's failure. It helps identify the problem with the equipment and indicates the accurate spot. This leads to quick detection and correction.

Zero Down Time (ZDT) developed by FANUC, eliminates down time and enhances overall robot performance. It collects the images of machinery with cameras and sends it to a cloud to look for faults. At a span of 18 months, 72 machine failures were prevented by the process.

Sort documental erratum: Converting random files and documents to an organized digital data form is not an easy process. Digitizing physical documents involve collecting and analyzing unstructured invoices, hand-written notes, receipts and contracts. The process entails the narrowing of required data from a cluster of useless information, detecting and targeting the required object and delivering key insight into it. The secured final data unravels unnoticed information that could take years to notice.

An AI algorithm created by the researchers at the US Department of Energy's Lawrence Berkeley National Laboratory last year with no previous training in materials science, unleashed through old science papers and predicted the thermoelectric materials. The discovery of computer vision, in this case, gave the world a hope that machines could think and detect the future far better than humans.

No queue shopping: One of the most annoying things that a person experience and is tired of is standing in queues to ring the products at a supermarket. The task is further worsened by the outbreak of Covid-19, a pandemic that hit the world. People in the supermarkets ought to follow social distance in-order to not contract the disease which is near impossible at bill queues. The computer vision takes a further step by taking the side of technology.

Amazon recently opened an Amazon Go store in Seattle, Washington with the computer vision technology onboard. The shoppers have no reason to stand for checkout as the cameras in the store scans the person and the products that they add to their shopping bags. The technology is also connected to the person's bank account which makes the process easy for the system to deduct money directly from the linked account.

Another technological prospect is to prevent theft. ScanItAll, designed by ShopLift for its store can detect billing errors that happen accidentally or intentionally when the cashier doesn't ring a product.

Technology in medicine: Radiology plays an important role in the modern medical industry. The current technological systems linked to computer vision in medicine avails its help through diagnosing diseases and conditions from X-rays, MRI or CT scans. This aids the radiologists to quicken the treatment.

MaxQ AI offers the technology to detect rare anomalies in brain scans and quickly suggest treatment options. This helps the physician to go for treatment as soon as possible and prevent serious illness like brain tumour which leads to stroke.

Aids autonomous or self-driving car: Motor industry is going through a drift of positive outcome due to developing technology. One such move is the autonomous or self-driving strategy. According to ABI Research, eight million vehicles will come out with some level of autonomous technology by 2025. Computer vision will play a central role in autonomous cars.

According to the World Health Organization, more than 1.25 million people die each year as a result of traffic incidents. It will become the seventh leading cause of death by 2030 if no sustained action is taken. But this could be changed with the enrolling of autonomous cars. Waymo is one such initiative to bring driver-less cars to usage. Waymo is working to improve transportation for people, building on a self-driving car and sensor technology developed in Google Labs. Other companies like Ford and Tesla are also working on releasing a fully automated version of the self-driving car.

Helps in marketing: By the process of finding and analyzing thousands of images, videos and data, the computer vision envisages itself to the spot where it can help the business in marketing. The technology predicts the placement of ads where it suits the reader's interest and doesn't contradict with the browsed content or other ads.

The management and the people who involve in computer vision technology and get the fruit from it should also be aware of the risk factors in it. To keep the mishaps away, the people dealing with it should have a good understanding of the processing system. With things set at pace, computer vision and humans together can unfold a developed society.