The service automates the analysis of data obtained from video cameras. Video analytics will help improve product layout, optimize customer service, and eliminate the human factor in security matters.

VEON AdTech's business development manager for video analytics, Dmitry Kudryashov has shared details about the product.

What is the difference between video analytics and video surveillance?

Video surveillance involves operator control and monitoring of events. Unlike it, video analytics is based on machine data and uses software algorithms to detect information obtained from video cameras through neural networks. Customers are used to having an operator, a camera, and a screen. If the operator is tired, falls asleep, or gets distracted, an event captured by the camera may go unnoticed by the operator. Video analytics, on the other hand, is designed to eliminate such situations, as it operates 24/7, receives all the information the camera captures, and can promptly alert the security service. For example, in case of fire, the system sends a notification via Telegram, email, or within the platform.

What are the advantages of your product?

Firstly, it is adaptive and compatible with most modern cameras, allowing the use of existing equipment.

Secondly, there are two ways of system integration: from the customer's servers to cloud solutions. If the customer has their servers and storage, we can connect the system to them. If they don't have resources, we can offer a cloud solution. It is important to note that regardless of the chosen solution, all information remains confidential. It stays beyond the organization, and only the customer can access it after the system is deployed.

Thirdly, the system can be used in almost all areas: retail, FMCG, industry, "safe city" programs, etc. Every business can find video analytics useful.

Fourthly, the tool eliminates the human factor. Which leads to fewer risks of lost profits, increased security, and the absence of emotional influence.

What are some examples of using video analytics in business?

Video analytics will be useful in any industry. In retail, it can be used to optimize product placement on shelves, analyze customer behavior, and forecast demand. In industry, video analytics is used to monitor production processes, count finished products, and prevent theft. It can also be used to monitor logistics processes, such as tracking vehicles in warehouses. Video analytics is also applicable for ensuring security in urban environments: for controlling fare evaders in public transport or detecting suspicious behavior on the streets. It can also be used to improve service in banks and government institutions.