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Education, data security, manufacturing. Сan computer vision go beyond that?

Here is a closer look at the scopes and prospects of computer vision.

Computer vision (CV) is a special type of artificial intelligence that analyzes images and videos. The system itself consists of a video camera with smart software. The program can analyze and recognize images, faces, and emotions. For tasks in which the capabilities of the human eye are insufficient, computer vision is of particular use.

According to MarketsandMarkets, by 2024, the computer vision market is expected to grow from USD 10.9 billion in 2019 to USD 17.4 billion. It is driven by the growing demand for quality inspection, automation, and vision engineering. There are some interesting areas in which computer vision will be wholesome.


Сomputer vision widely integrates into the agricultural industry. Today UAV's with built-in AI can recognize plant specimens and diseases, and notice insect pests. In addition, they can determine the height and volume of the crops, observe fires and smoke, etc. For example, American "Taranis" UAV can detect diseases and pests faster than farmers. What is more, such drones can cover a much larger area compared to a human.


Computer vision is necessary for transport development. Facial recognition systems are used to ensure security at airports, train stations, and metro stations. Moreover, computer vision is able to analyze traffic jams and parking occupancy. Thus, it helps optimize the urban transport system.


Besides, facial recognition technology ensures the safety of employees. In hazardous industries, AI monitors the exploitation of personal protective equipment. If specialists forget to wear protective gear, they are promptly cautioned.

The employees’ condition is also under oversight. If a person's attention level decreases during work, the subject and the whole team receive an alert. By monitoring the quality of production, CV-techs minimize the occurrence of flaws.


During online exams, computer vision systems verify the identity of students. AI compares the identification document with the database and admits students to the exams. In addition, this technology is used in online proctoring for exam monitoring. For instance, Examus AI proctor tracks the majority of violations during online testing as well as multiple attempts of cheating. The "Examus" system has been adopted by many universities and corporations.

Data Security

Computer vision can also be used in information security. In recent years, companies have suffered from leaks of screenshots and screenshots of confidential data. At the same time, most information security systems (DLP, VDR, etc.) cannot recognize and track such leaks.

AI-based solutions can help to deal with this issue and have already started to penetrate this market. For example, Examus has designed a new AI product "Locker". First, the AI performs biometric identification of the user by facial and ID recognition. If there are no matches in the database, then access to the file is denied. While the employee is working with some confidential document, a monitoring system watches their screen and camera remotely and records both streams simultaneously. If the AI detects suspicious actions, it automatically sends information to the server. This solution can be integrated with enterprise content management (ECM) or information rights management (IRM) systems for maximum integrity.

Examus team

December 10, 2021.
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