Video Analytics Services

Ten years ago, the video surveillance niche was very conservative and seemed unprepared for innovation. But the changes began with the arrival of a new player on the market Ivideon. The developer was the first to offer to transfer video surveillance to the cloud. It greatly simplified the interaction with technology. Businesses no longer needed to buy video recorders, licenses, and complex installations. Moreover, the access to video is enough Internet access. Some services today need video analytics skills. The gambling sphere is one of those. It is done so that the clients would be able to win real money online safely.

And today, when the cloud has become the standard in video surveillance, Ivideon sets a new trend. It is video analytics. We tell you what opportunities technology opens up for businesses and what their prospects are.

Why Do We Need Vidoe Analytics?

Over the past 15 years, the video analytics segment has changed a lot. Earlier it was represented mainly by solutions for simple motion recognition. Now technology allows for solving much more complex business tasks. Those tasks can be collecting a customer profile, calculating a funnel from visiting a store to shopping, monitoring workload, and security objects, and managing the work of employees.

In general, video analytics solutions are diverse. But it is customary to single out three main areas. Those areas are face recognition, object recognition, and counting the number of objects.

Based on these tools, business solutions are created. Such can be found as access control, event detection based on face/object recognition, queue control, border crossing, and many others. According to Ivideon, there is now a special demand for a multitasking face recognition module, as the solution involves many use cases.

Which Factors Influence On It?

Firstly, video analytics research requires business development in Europe. The company came to understand that. It took into account the number of visitors and is more profitable using counters. The employee timesheets should be automated with biometric solutions. A face recognition pass system would provide better security than swappable cards. The barrier with license plate recognition honestly arrived at the place.

Secondly, the reluctance of clients to implement solutions. Those solutions require the adaptation of internal business processes. Moreover. they need the investment of resources in the development of privacy. It has already solved the second problem. The main service is multi-vendor. It means any camera can be connected to the Ivideon cloud without capital costs and by subscription. The difficulty that the developers are trying to outline is in the client. The client often expects to receive selections from the dashboard and reports for complex tasks. He also needs to know the number of personnel and when to output to the object based on the data structure. The creators expect to reach this level in the near future. But so far the self-development of technologies is not up to this.

Thirdly, the development of video analytics depends on the features of the device. The creators often encounter that the conditions at the client’s site include lighting, scale, height, and so on. That is why the opportunities to use high-value can be identified. For their part, the developers worked to improve the algorithms in order to reduce the requirements for hardware space and conditions at the facility. As a result, their target was to reduce barriers to deploying solutions.

Despite these factors, video data coverage will be higher than all major companies in every industry. Soon, predictive analytics will also appear that will help predict business “health” indicators, the main of which is the constant growth of revenues.