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Intelligent video analytics powered by AI has become one of the disruptive technology that every investor is looking to embrace. The key adopters of this technology are both companies seeking to leverage every newest application of AI to solve never-ending challenges and those who are thinking to automate their video surveillance systems. Most advancements in video analytics like real-time video processing, and improved accuracy in motion/objective detection, and tracking have improved the speed, functionality, and flexibility of deployed models.
The introduction of artificial intelligence to power video analytics has taken every user application associated with it a storm. Earlier video analytics was used to better understand how people are interacting with content, and to improve our product and services. Pattern recognition and object/motion detection are all achievable, however, they are limited to an extent where they are prone to exaggeration. For example; the inaccuracy of license plate recognition during peak hours of traffic. Now the addition of AI to video analytics has taken it a step further to mitigate these limitations. Through the use of sophisticated algorithms and pixel-by-pixel analysis, with AI, the analyst can pick the smallest details in the video for better results.
Intelligent Video Analytics or Video Content Analysis
Video analytics applications have their prominence in every industry starting from manufacturing to healthcare, retail, security, hospitality, and more. Recently novel computer vision platforms are been introduced, allowing businesses to deliver personalized video content analysis applications on the go. There are various ways in which AI is transforming video analytics applications:
Intelligent Video Analytics – Applications and Opportunities
1. Smart Cities
AI solutions help city officials to watch over public places and study data to improve the safety situation in the city. Video surveillance and video analytics have the capabilities to keep track of various incidents and help authorities in making informed decisions. Here are a few ways video analytics is maximizing smart city operations outcomes.
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Incident detection and Intrusion management systems
Video incident detection systems work with a network of cameras installed throughout the specified parameters. The system detects all events automatically to head up the management team about emergency situations to prompt damage control measures to detect stopped vehicles, wrong ways of driving, queues, pedestrians monitoring, slow-moving vehicles, fallen objects, etc.
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Traffic monitoring
An IoT-based traffic monitoring system automatically and continuously monitors vehicles in moving traffic. Sensors that are installed in or near the road are used to record, aggregate, evaluate and visualize a wide variety of parameters from vehicles, infrastructure, and the environment. Automated number plate recognition helps to monitor traffic and higher officials in surveillance of vehicles moving suspiciously traffic signs that are not obeyed, and other wrongdoings.
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Facial recognition
People counting and person detection is two main applications of facial recognition. By applying behavior tracking one can automatically recognize temporal and spatial events in the video, the application of intelligent video analytics can help governments in preventing robberies and get the crime rates down.
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Vertical motion detection
Video analytics software trained to recognize the subtle differences in motion direction between regular and irregular behavior involves detecting dangerous objects in a live camera feed or given video.
2. Retail
Video cameras in retail stores can produce overwhelming amounts of data, so surveillance teams sometimes can’t manually review the stored footage to perform a post-incident report where intelligent video analytics can be used. Use cases of video analytics in the retail industry are numerous here we listed a few important ones
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People counting and monitoring
People counting and monitoring via video analytics can help in making personalized real-time warnings that are activated when unusual behavior is observed and may need a response from authorized personnel which increases situational awareness.
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Queue management
Queue management improves your customer’s waiting experience by monitoring real-time situations to help management and staff in real-time by identifying queue demand at any given time.
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Surveillance
Close observation of your customers to understand their purchase behavior, and product preferences to analyze and make better decisions to provide customized customer service.
3. Manufacturing
Video analytics has become an important part of manufacturing transformation. The rise of automation and technological advancements has made the manufacturing business look for new ones to make their process efficient, more productive, time-saving, and cost-efficient. The application of object detection, object recognition, and theft deduction, for the surveillance of people, products, and machinery has reduced ideal time and increased their productivity with minimal costs and effort.
4. Healthcare
Intelligent video analytics is here to increase healthcare efficiencies and improve patient care. The solutions to video surveillance in healthcare like patient fall detection (if a patient falls down when no one is on watch), Patient monitoring (like virtual monitoring of patients in absence of nursing staff), detecting emergency requirements of nursing staff, etc. many healthcare facilities use video surveillance to monitor wards, corridors, and emergency rooms for making real-time decisions to benefit both the patient experience and resource allocation.
5. Hospitality
People management, hot spot analysis, and surveillance are known applications of video analytics, but other solutions like fire detection, blacklisted person identification, facial recognition for attendance, video monitoring for preventing theft, overcrowd detection, hygiene and cleanliness detections the video analytics would assist hospitality operators in efficiently managing operations and improve user satisfaction.
Video analytics remains unexplored till artificial intelligence has been introduced into this field of study. Intelligent Video Analytics solutions can streamline various operations in various industries to execute processes effectively which is the need of the hour many. With AI-powered analytics, we can explore various challenges to lead more insights, and improve decisions in real-time.
To know more about AI-powered video analytics applications for your sector or to understand how you can apply its solutions to your existing framework, connect with us.