Emerging trends AI based and machine learning surveillance
Artificial Intelligence and machine learning have been hot topics around this advancing era as AI based and machine learning surveillance technologies increasingly find their way into everything from advanced quantum computing systems and advancing medical diagnostic systems to consumer electronics and smart security surveillance. According to sources, the revenue generated by AI hardware, software, and services altogether is expected to reach $156.5 billion globally this year, that is, up by 12.3 percent from the previous years. But it can easily lose sight of some of the primary being used technologies when it comes to pursuing trends in the development and use of AI and ML technologies.
As we approach the end of certain technologies which are less likely to be used, here’s a big-picture look at key AI and machine learning trends in video analytics, not just in the variety of security camera they are finding their way into, but also in how they are being developed and designed with these algorithms and the ways they are being used. The adoption of new technologies like Artificial Intelligence, Edge analytics, Predictive and Reactive analytics, Machine learning algorithms, and wireless features has immensely increased the demand for video analytics in different industries like retail, enterprise, city surveillance, law enforcement, and transportation, etc.
- Artificial intelligence for video analytics: Automated solutions, delivered by deep learning and artificial intelligence, can effectively analyze the huge amount of data captured by the camera, providing significantly rapid results. Intelligent video analytics takes the help of deep learning for a face recognition system. A well-trained deep learning solution enables video analytics to analyze facial data more efficiently by providing more accurate face detection details with faster response time, thus creating a powerful method for facial recognition systems. Using AI embedded with video analytics, several different systems will be able to communicate with each other helping in to take rapid decisions and readily catching suspicious activities or predicting them. With the advancement of AI, the future of video analytics is not only limited to providing static algorithms but also to have authentication and authorization-based alert systems. Wherein, the alerts will be generated and sent only to an authentic individual and the relevant officials.
- Combination of surveillance with location and identity-based systems: There are some or other situations where a security camera cannot take action due to some visual obstacle that is not included in camera tampering algorithms which means video analytics will not come to work. The situation can go beyond the line of sight. A combination of video analytics and surveillance with other advanced technologies, including Real-time Location Systems (RTLS) or Radio-frequency identification Systems (RFID), can provide the exact date or location captured.
- Micro-expression analysis: Facial expressions explicit not only emotions but also related actions, various behavioral patterns and give a lot of useful data when it comes to helping departments like Law enforcement, Forensics, etc. Video analytics can be achieved based on data analysis, sentiment analysis, and other advanced solutions. Expressions like happy, sad, angry, scared, surprised, upset, or neutral form the basis of video analytics. An advanced video analytics solution may contain multiple functionalities and features including People management, Vehicle management, Behavior monitoring, and Device protection. By using intelligent video analytics with new generation technologies, we can provide help to enable smarter and secured cities, Law enforcement to be more proof bounded, intelligent transportation solutions, retail companies to act fast and be customer-friendly, and many more. This is the age and era of embedding intelligence inside the machine and manufacturers are poised to take advantage of their experience in video analytics and embedded domain to help the customers come up with cutting-edge solutions.