Modern video surveillance systems not only help prevent theft and crime. Now with their help, you can increase profits, control employees, automate access to the territory, and solve other problems. The fact is that video surveillance now has an additional feature – Video Analytics Solutions.
What is video analytics and why is it needed?
Previously, in order to monitor the business, employees had to continuously watch broadcasts from cameras. However, the observer may miss something important: theft, damage to property, or a visit from a regular customer. What to do if there is only one operator, but there are several dozen cameras on the sales floor? It is impossible to monitor all devices at the same time, and hiring staff is expensive and irrational.
It is more convenient to use Retail Video Analytics Solutions – this is special software that analyzes the data stream from video cameras and automatically recognizes a programmed event. The systems can work with real-time broadcasts and video archives.
What are the types of video analytics systems?
Any video analytics system consists of two parts:
digital cameras that broadcast video;
software that processes and analyzes this information.
Depending on where the Video Analytics Software is located, systems can be designed differently. Three types of solutions are most often used.
Built-in video analytics- With digital IP cameras, video is stored and processed on the device itself. On the one hand, it’s convenient: you don’t need to connect cameras to a DVR or the cloud, and network bandwidth doesn’t matter.
On the other hand, built-in video analytics is limited by the capabilities of the camera: the archive volume is small and will quickly fill up. This type of infrastructure cannot be managed from one point: you will have to separately connect and configure each camera.
Server video analytics- Information from video cameras goes to a central server. There it is decoded and then fed to the video analysis modules. The advantage of the solution is its configuration flexibility: if necessary, you can develop and add new analytical functions.
It is worth considering that with this model, the business independently organizes and maintains the system: it buys equipment and licensed software and connects and configures it. Video analytics needs powerful equipment. If there are many cameras, the resources of one machine may not be enough. Then you will have to buy a more powerful server or additional boards.
Cloud video analytics– Cloud AI Video Analytics works on the same principle as the server one, with the difference that virtual computers are used instead of physical ones. The data stream from the cameras goes to the cloud server, which is located in the provider’s data center. There, the information is decoded and, in pre-processed form, is sent to modules that perform analysis and output the result to the user’s device.
The advantages of a cloud solution are that you do not need to buy and maintain your own equipment and you can connect an unlimited number of cameras to the CCTV Analytics Software. You can add new services and disable them with one click in your personal account – there is no need to buy licenses for analytics modules. A subscription fee is required for the service.
Video Analytics Solutions can be understood as one which uses advanced level of algorithms, machine learning as well as other related technology for monitoring, managing and analyzing large volumes of video data. These software use a form of technology benefitting several Artificial Intelligence video surveillance networks in deriving findable, actionable, that is also quantifiable intelligence from any live video content, including the one that has been recorded. Along with this, these digitally operated software provide an effective video analytics solutions to people, that are highly cost-effective and saves time. Additionally, it offers smart city security solutions to various business corporates as well as provides a direct means to augment security that has new detection capabilities, automates excessive control and various other functions providing facility to its consumers. It also reduces staffing requirements in several business enterprises by focusing on the key events and helps them in collecting data concerning consumer behavior.
A video analytics software thus, extracts numerous objects present in the video, based on its trained Deep Neural Networks. After this, a process of classification has been completed to enable the knowledge of AI video analytics, inclusive of search, filtration, alteration, data aggregation and visualization. Moreover, Artificial Intelligence video surveillance and CCTV Analytics Software are excellent in terms of providing physical security as well as helpful tool for crime regulatory bodies to undertake further investigations in case of any law suite. It improves their real time responses concerning immediate situations.
One of the advanced feature of this latest technology is that it offers retail video analytics solutions as well, along with security. It thoroughly checks for marketing operations, facility management and diversify consumer experience, therefore, boosts profitability of an associated business firm. In particular, AI video analytics is a process of deriving several actionable insights and conclusions from the collected data in the digital video format. It simplifies all complex tasks associated with human video observation. This supports various tasks such as detection, identification, categorization of large volumes of data, inclusive of tagging specific objects automatically.
Key components of Artificial Intelligence video surveillance systems
AI can be described as a field of science and knowledge used to solve various problems regarding computers, machines, technology and other related sub-fields.
Machine learning therefore, is a knowledge and art, where advance algorithms become a part to analyze some sort of data from a given information that has been collected and applied to focus on future decisions, required to be taken without any human interference.
Deep learning is however, seems capable of absorbing large sums of data sets thar are much diverse and unstructured in raw formats. This works into ‘layers’ and input huge volumes of data, just by observing repetitive patterns that may occur in the bunch of collected data.
Working of AI video analytics
AI video analytics works under three major steps, namely:
Conclusion
Video Analytics is the robust source of increasing performance capabilities of several embedded devices. With the help of this science, a large amount of data has been processed at diverse locations in no time. Similarly, an Artificial video surveillance offers numerous benefits to various business entities. These might include increased safety and security measures, operational efficiency is thoroughly optimized, proves to be an excellent resort for investigation related activities, thereby reducing crime as well as ensures worker safety and health.