The global CCTV market is expected to reach $23.5 billion per year by the end of 2014. We are heading to a future where almost ‘everywhere’ is under constant surveillance of a digital eye. The data that we get from all their cameras, CCTVs are beyond the limit of human analysis. It is, in fact, a tedious process for a human to analyze the video output from a camera. However, the insights and information that can be derived from these data are immense and primarily helpful to improve the efficiency of operations of what is being monitored by these devices. The advancements of Artificial intelligence have made a big impact in real-time video analytics, making it more accurate and precise in detecting objects, the motion of objects, and even the scale of detecting the emotion present in a human’s face. This advancement in technology if utilized properly can benefit your business intelligence by adopting informed decisions based on the valuable data you get from the feeds of video analytics.
Video analytics is a technology that automatically analyzes video content in order to detect events objects the system is programmed to look for. This goes beyond simply setting up surveillance cameras but includes cutting-edge technology that can analyze what’s being recorded through the CCTV. The most common and basic functions of video analytics are object and motion detection which indicates that if there is an object or if an object is moving in front of the camera.
Let’s see how real-time video analytics can help improve the operations of organizations and businesses.
A real-time video analytics system such as EMOTYX can closely observe a business’s customers and understand what their needs are. For example, a system having the ability to understand what exactly the shoppers look for in a supermarket by the keen observation of how long they look at it, and what their expression indicates at that specific moment can be used to derive business strategies in positioning products in the supermarket. Such a system can even identify the emotion of a customer when they check out a product.
Moreover, Cameras hooked up with video analytics can provide companies with a wealth of information about how the business is being run, what customers do, and what makes them happy. These all come in handy to optimize business. The data is collected according to customer behavior can shape a new marketing strategy as well.
The most obvious benefit of video analytics comes under security. The main advantage of having the real-time streaming of video will help to understand and detect several causes that can affect an organization negatively. The analysis through video will easily catch up on things that a human eye cannot. Video analytics for security is already being used by many governments including Dubai Government who uses the technology for suspect detections and rules violation detections.
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There are about 500 million surveillance cameras, body cameras of law enforcement and billions of mobile cameras being used .with real-time video recording is a powerful technology which monitors and identifies the violation in traffic rules, troubling behaviors of personnel, unusual human actions and other anomalies such as in advance it can alert you to any unexpected problems and enable rapid responses to incidents as they emerge. Real-time video analytics will help with security and public safety organizations that develop comprehensive security, intelligence, and investigative capabilities using video.
Security-based analytics can also excel at behavior analysis, whereby simply observing and analyzing somebody’s walk and talk, make the system identify their behavior as being suspicious. other features such as motion and object detection with the use of video object tracking are already put to use in many places where the system can identify loitering, identification of the suspicious object, crowding, occupancy in places like airports, sports venues where there are lots of behavioral as well as suspiciousness can be notified.
Identifies a person from a digital image or from a video source by comparing selected facial features from a given image with faces within a database. They are used in several situations both in business and for security assurance. social media platforms use this technology to tag people automatically, mobile companies use them as face IDs to unlock mobile phones and in law enforcement, they are used to identify criminals. Applications of facial recognition include
People search in video analytics to detect a particular person’s presence from a given video or even live video footage. This piece of technology is particularly beneficial for security surveillance systems. Applications of people search include,
Anomaly detection is helpful to detect anomalies happening in a specific region. For example, detection of fire in factory premises or detection of movement in an entry restricted office space, etc. When a deviation happens from the usual activities that happen in a place, the system is able to alert the concerned official, take automated actions such as alerting firefighters in case of a fire detected in a building. Applications of anomaly detection include
Video analytics are beneficial to organizations in many ways. It helps them to see the ‘unseen’ and make informed decisions to improve the status quo. In near future, we can expect much more advancements in video analytics which can work as a 24/7 proactive supervisor improving the running efficiency of an organization.
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Real-time video analytics helps you monitor organizational activities always. Efficient use of video analytics optimizes organizational resources.
Video analytics refers to technology that can automatically analyze video content in order to detect events and objects the system is programmed to look for. The use of real-time video analytics in an organization helps us understand the customer needs, provides better security, improves public monitoring, enables facial recognition, people search, and even allows us to detect anomalies in the premises.
AI-based analytics solutions have come a long way since the technology has been introduced for use with a wide range of applications from motion detection to camera-tampering alarms, people counting, and crowd management. Use cases of intelligent video analytics include retail, traffic management, smart parking, enhanced public safety, production line, and healthcare.
For accelerating retail growth with people counting and in-store customer analytics, walk-in customers are an essential ingredient for a business. So measuring the in-store customer traffic of your store provides you with valuable data you need to develop a strategy to improve sales and deliver better customer experience.
By using AI-powered anomaly detection systems in taxi cabs, the occurrence of crimes can be immediately detected. These systems can identify anomalous activities such as assault, theft, rape, presence of harmful objects or weapons, etc. Such a system can alert the concerned party, say, nearby police officials, to take necessary action. Timely alerts can help in more proactive engagement from the police department.