Video analytics have become increasingly important in the field of security and retail. These technologies have the ability to automatically detect, track, and analyze people and objects in video footage, providing valuable insights and enabling businesses to make data-driven decisions. One of the key advantages of modern cloud techniques and APIs is their ability to process large amounts of video data quickly and easily. Cloud-based video analytics platforms can analyze footage from multiple cameras and locations in real-time, and the results can be accessed from anywhere with an internet connection. This eliminates the need for expensive on-premise hardware and allows businesses to scale their video analytics capabilities as needed.

Video analytics has caught the attention of several businesses as technology is progressing. What comes to our mind when we think of video analytics? Video analytics has caught the attention of several businesses as technology is progressing. Public safety and security are the two primary aspects of businesses and video analytics software can help by monitoring video streams in real-time. It offers robust and practical solutions by collecting data with consistency and accuracy.

Businesses have had several transformation breakthroughs in the last two years as a result of the epidemic that was expected to happen in the following five years. The rate of technological adoption will continue to rise. It mostly comprises artificial intelligence (AI) and intelligent industrial automation. Even though businesses are still learning how to use various AI technologies, computer vision will continue to offer up new technical vistas for the hyper-digital dawn. Video intelligence, one of the most talked-about computer vision technologies, has a lot of practical applications.

Believe it or not, a lot of firms are still reliant on dated tools for monitoring. For instance, CCTVs are pretty much common at factories, workplaces and other industries. You can easily visualise a big room with multiple monitors keeping a tab on things. And this has been around for years. The vast amount of this data generally goes unused and barely gives any leverage. Delhi-based Wobot.ai is trying to resolve this big gap with'smarter video analytics solutions' that leverages cutting edge technologies such as Artificial Intelligence to achieve more productive and automated monitoring.

Artificial Intelligence and advancements in cloud edge computing infrastructure are enabling development of intelligent real-time video analytics solutions that are solving several problems and creating many opportunities in different sectors. By harnessing the capabilities of machine learning and bid data, AI-powered video analytics solutions have started to play a crucial role in automating several functions and duties based on video intelligence collected through application specific cameras. From street crime deterrence, to missing person search, patient monitoring, land surveying, vehicle classification, product fault detection and wildlife poaching control, there are numerous applications of video analytics solutions. In below linked infographic we will show you 50 of those applications across different sectors.

Video surveillance is one of the fastest growing segments in the physical security industry. In the prevailing security environment, the need for video surveillance is growing exponentially. From smart cities to stadiums, from retail mega-markets to homes, video surveillance has become a pervasive phenomenon. Several petabytes of video data are being generated globally every year from this growing number of video surveillance installations. However, a large amount of video which is captured is never analyzed for actionable intelligence and, in many cases, a large team of human operators is required to monitor the video feeds.