In reality, it is difficult to monitoring video surveillance systems while dealing with multiple cameras. Also, it is challenging to keep monitoring all of them. You need lots of manpower to handle this situation. That is why; the automotive market is paying attention to video analytics. Nowadays, video analytics based on AI are reliable, efficient, and inconvenience free. If you want to work with video analytics technology effectively, AI-powered production is not a bad idea.
For many years, video analytics are facing challenges day by day. The first challenge is “data storage”. In other words, it becomes difficult to store data with tremendous volume. The second challenge is the “lack of human resources”. Also, the last challenge is “Safety of CCTV surveillance systems”. Hence, keeping this view in mind, AI-based technology is known as best to tackle these challenges. Here are some technologies included in this video analytics:
Detection of Object
By using AI-based technology, it becomes so easy to detect the object. It helps to identify the object in videos or images with the help of a computer. Detection of the object is so essential to know the exact position. In this way, there will be less chance of any mistake. You can also obtain accurate data by identifying the object’s incorrect manner.
Recognition of Object
To recognise objects in recordings and pictures, this technology is known as best. Through this feature, you can recognise the object within the premises. Also, the main objective of the machine and deep learning algorithms is the recognition of the object. This technology works quickly by locating scenes, things, characters, and other visual information. Through human resources, you can’t quickly do this work compared to AI-based video analytics modules. In every industry, the recognition and detection of an object is an important tool. Hence, this technology is gaining popularity in most industries. People are saving their time by reducing manpower within the industries.
Tracking of Object
Indeed, object tracking is a very important thing for the owner of industries. You can easily track the exact location of the object through this feature. With the help of a computer, it becomes easy to track the travelling positions of the object through video frames. For example, most people notice humans in a soccer game. But, there may be other objects to notice like creatures, cars, balls, etc. In the same manner, AI-based technology includes object tracking for better assistance. Through object tracking, you can avail several features like:
- You can reduce both cost and time in checking the object one by one.
- It helps by telling the exact positions of the objects.
- It also provides accurate data of the objects so that you can track them as per your suitability.
Real-Time Video Analytics
In reality, video cameras require lots of data to operate. That is why; surveillance teams have to face difficulties in the terms of storage. Hence, AI-based technology provides real-time video analytics. It means this technology offers data effectively and efficiently without requiring an extra amount of storage. In this way, surveillance teams can generate a report by tracking each thing through the computer.
Activating Real-Time Alerts
On a serious note, personal real-time alerts are so important. In other words, you should get notifications about unusual behaviour at the same time. Hence, AI-based technology helps to increase awareness of the situation by providing alerts/notifications. In this way, you can know about the possible errors. Here are some examples of these alerts:
- Count-based Alerting: – Within a given period, you can know the specific number of people or vehicles in a determined location. Count-based alerting helps to identify the number of objects.
- Appearance Similarity Alerting: – Through this alerting system, the surveillance team can re-design a warning. It means you will know about unusual behaviour through messages or notifications.
- Face Recognition Alerting: – It is the best way to recognise the face of the human through this alerting system. However, this feature only works after the approval of facial recognition technology.
Performing video analytics may be a difficult task for everyone. Surveillance operators have to face numerous challenges during video analytics. This is why; AI-based technology has been introduced in the market. It makes the job of surveillance operators easy and more efficient. Also, they are saving time and are involved in other tasks.