Video analytics is the process, technology, and software of using computers to automatically analyze the video content from the security camera. The adoption of video analytics makes your video surveillance system more reliable and efficient, diminishes the workload on management and security staff, and assists you capture the complete volume of security video by making IP camera system more efficient and intelligent. In addition, license plate recognition, high accuracy, object recognition, strange object recognition, enhances security, auto-tracking, ease of implementation, real-time surveillance,
Video analytics is the process, technology, and software of using computers to automatically analyze the video content from the security camera. The adoption of video analytics makes your video surveillance system more reliable and efficient, diminishes the workload on management and security staff, and assists you capture the complete volume of security video by making IP camera system more efficient and intelligent. In addition, license plate recognition, high accuracy, object recognition, strange object recognition, enhances security, auto-tracking, ease of implementation, real-time surveillance, and reduced labor costs are some of the major benefits offered by the video analytics system. Video analytics also known as intelligent video analytics which monitors video streams in the real-time. However, while monitoring the video content, the system recognizes events, attributes, as well as patterns of particular behavior through the video analysis of monitored area. Moreover, video analysis system also produces automatic security alerts and can offer forensic analysis of past data to recognize trends, incidents, and patterns. Video analytics system also allows its users to organize, analyze, and share any outcome gained from the video data to make better and smart decisions. Likewise, it can promote improved coordination across the organizations and agencies. The system offers widespread applications such as vehicle violations and patterns of traffic laws as well as people entering in the restricted area with the defined time period. The data obtained by the system can then be sorted according to date or time or can be extended time frame to make a trend video analysis.
Motion detection is one of the major function of the video analytics along with the fixed background. In addition, additional technical functions of video analytics comprise video tracking and ego motion estimation. These functions helps to precisely analyze specific identifications and behavior analysis. Cameras, sensors, connectivity techniques, and image compression techniques are some of the main technologies used in the video analytics system. On the other hand, the growing demand for gain actionable insights from huge range of data, and increasing amount of unstructured video data are some of the major factors boosting the demand for the video analytics across the globe. Likewise, the rising trend of artificial intelligence, BYOD, machine learning, and IoT further supports the growth of the video analytics industry globally. Some other factors such as increasing adoption of industrial automation, technological advancements, and growing security concerns over the globe are also increasing adoption of video analytics system across the number of different industries. However, the growing cases of terrorism as well as rising security breaches have risen the adoption of video analytics systems. Increasing demand from developing regions and growing adoption for public safety are the key factors may offer huge number of opportunities for the video analytics industry into coming few years.
How do Video Analytics System Work?
There are many types of video analytics solution, but they all follow the same process for video surveillance analysis. Thus, video analytics system use vide as an input to make comparison against the rules or conditions that are defines on the software engine. On the basis of analytics type, the engine will seek for particular data on the image. However, if the event is matched with the specified condition or rule, the video analytic will trigger an action or output. The video analytics system produces meta-data as a part of the outcome or output that is nothing but a data in the form of text to define the incidences during the event. Thus, meta-data can be used to classify event, trigger alarm, search for information, and run reports. It is important to note that, the video analytics system needs a learning period before the video engine can start to detect events. Likewise, this learning phase will offer the analytic baseline to collect data and make comparison it against the specified rule or conditions. Some video analytics will need a less video resolution to operate accurately, such as at least x number of frames for every second to run the video analysis in some incidences camera angle to achieve better insights.
Benefits of Video Analytics
Video analytics system offers number of different benefits to businesses particularly in the public safety and security alarms. The system also used to improve these two industries with inclusive intelligence, investigative & security abilities. However, the data retrieved from video analytics is basically designed to generate actionable intelligence to aid enable law enforcement, infrastructure of city planners, and administrators and managers to know and respond to current situations. In addition, transportation, education, banking, casinos, financial institutes, as well as government industries also getting benefits with video analytics systems.
Applications of Video Analytics
Video analytics system finding several applications in both private and public sectors such as transport, government, financial services, and retail. Such applications defend assets as well as people against damage and harm. The system enabled with video analytics basically work on pattern recognition and motion detection concepts.
Typical applications of video analytics include:
Pattern Recognition: video analytics system help to compare objects within a video time frame. Some changes such as goes missing, new object added, or object is moved immediately recognizes by the system and forwards it as an alert.
Motion Detection: By analyzing every pixel in the video frame, the system is able to pick even the smallest movements.
By the geographical viewpoint, the video analytics industry is expanded across the various regions. North America is estimated to have the highest market share in the coming years. This is due to the huge adoption of video surveillance system across the region. However, Asia Pacific region is likely to be the fastest-growing market for the video analytics industry. This is owing to the fact that the market has the growing adoption of innovative technologies such as cloud, analytics, and also the advancement of smart city projects in region such as India, Singapore, and China.