Computer vision allows retailers to automate processes that previously needed to be performed manually. You can receive notifications about finished products or other customer requirements that are not met automatically by creating an Analytics system directly at the point of sale. Computer vision technology allows you to control the work of staff, count visitors, optimize your work schedule, analyze the effectiveness of advertising campaigns, and many other applications.

Inventory analysis, automated sorting and tracking systems, scanners for reading barcodes and checking product compliance with the order. Automated systems for admission and control, as well as systems for forecasting demand and supply volumes based on machine learning.

Modern high-tech production requires special approaches to product quality control, as well as optimization of technological processes. Machine vision has made a real technological breakthrough and significantly expanded the capabilities of flaw detection in the industry, taking it to a new level. Now technologies allow you to track quality not only after the product or product is manufactured, but also directly during the production process. Other possibilities of using computer vision, such as, for example, analysis of the granulometric composition of raw materials, can significantly optimize the production process.

Monitoring the work of staff, user traffic, temperature control in the flow of people optimization of the work schedule, analysis of the effectiveness of advertising campaigns and many other applications can be solved by computer vision technology.

Monitoring the work of staff, violations of regulations and labor discipline by employees, detection of visitor traffic, violation of public safety and order, and many other applications can be solved by computer vision technology.

The introduction of computer vision technologies in conjunction with global positioning systems allows precision farming, which can significantly increase agricultural productivity and efficiency. Monitoring of agricultural fields from satellite images and unmanned aerial vehicles, determining the maturity of the crop allows you to make forecasts of the amount of products.

The use of computer vision for medical image processing is used in computer diagnostics to plan personal therapy, medical care, and improve decision-making. Computer vision systems help the doctor make a diagnosis, because the image may contain small details that the doctor may not notice, but such details can be recognized by the system with a high degree of accuracy. In addition, the image can be compared with thousands of other similar images in the medical system database, and the result of the comparison is used for more accurate diagnosis by a medical professional.

Computer vision is used to build side-traffic warning systems, autopilots, and Autonomous vehicles.