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AiThority.com Primer: What is AI Video Analytics Software

Video Analytics software powered with Artificial Intelligence has attracted the interest of the academic and business world. Innovation in Video analytics is proven to be a great disruptor and a game-changer. Implementing Video analytics software a company can gain relevant insights about trends, buying patterns and important incidents through a comprehensive analysis of historical data.

Use cases of this software include tracking footfall at events, automating license plate recognition, smart parking, etc. With an easy, flexible and user-friendly interface, the application detects suspicious objects, intrusion to restricted areas, crowded areas, and the number of people present during an incident/event.

Example

The Video analytics platform developed by Wobot enables businesses to maintain industry compliances and standards. Round-the-clock process compliance is possible. CCTV surveillance systems are used by enterprises to track their operations. These videos generate vast amounts of data; analyzing this data is erroneous and tedious.

This platform helps businesses analyze surveillance data by implementing a layer of Artificial Intelligence. It is able to perform surveillance activities in real-time at the speed of the human eye. Its Machine Learning algorithms detect deviations in the standard processes and list them automatically. Relevant stakeholders and decision-makers in the enterprise can monitor this list.

Read more: Channeling the Flow of Data Through an Organization to Gain Better Marketing Insights

Industry Applications

1. Vehicle Monitoring

Public transport authorities can leverage AI-based Video analytics to monitor bus services, cab services, and train services. Insights gleaned from the collected data will give information about traffic congestion, peak hours, alternate routes, etc. Monitoring the speed of traffic flow in real-time is possible with Video analytics, especially on highways. Insights can predict total travel duration and calculate toll values dynamically.

CCTV videos can detect vehicles frame to frame to analyze lane traffic volume appropriately. These videos are useful for detecting road accidents, poor roads, potholes, and vehicle breakdowns.

Pedestrian monitoring becomes efficient with Video analytics. Useful insights include which direction people are moving, the density of pedestrians and average walking speed. These insights are used to improve safety measures, install traffic signals at the crossing, design urban intersections, advertising on the roadside and temperature control in public areas.

2. Security Systems

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Surveillance systems monitor public areas for behaviors, events, activities, etc. for better people management. Video analytics helps to spot unusual behavior anomalies and unauthorized access.

A primary application of video surveillance is access control. CCTVs leverage the technology of facial recognition to identify each and every person entering the premises. It helps in giving access only to people authorized to enter that area/building.

You may have seen a board, ‘Restricted Entry’ hanging outside public areas/premises or apartments. With the help of video surveillance, it is easy to identify intruders who have gained unauthorized access to restricted areas.

The video surveillance system has a specific zone i.e. a definite range of distance up to which it can detect movements accurately. If any object enters that zone, the security system is alerted through an alarm to take corrective action. However, any movement which takes place outside the security zone, will not be detected by the system.

3. Healthcare

Transforming Healthcare using AI, Machine Learning, etc has improved patient care. EHRs enable caregivers to offer personalized treatment. Monitoring the health status of an infant is possible with Video analytics. Soon after the delivery, the video captures the infant’s behavior. Optical flow algorithms and video magnification analyze this video data to accurately detect the real-time breathing rate of the infant.

Now, there is no need to book a doctor’s appointment for a physical check-up. With Video analytics, doctors can talk to their patients directly through an online platform. While performing surgery, doctors can refer to an online library of guides and handbooks to take the right steps. Real-time analysis is communicated through audio/visual inputs giving control to the surgical teams.

4. Retail Industry

With the help of emerging technologies, the retail industry is looking for options to deliver a holistic Omnichannel buying experience to its customers.

Personalization: Face recognition systems are implemented to identify shopper demographics and buying behaviors to send customized advertisements. The system captures data – age, gender, daily footfall, buying frequency, glance time on products, etc.

Checkout-Free stores: Amazon Go, a great example of how Video analytics has helped customers to shop without waiting in queues to wait for checkouts. The system tracks customer movements, items kept in the cart and processes this data using Machine Learning and Computer Vision to decide the final amount a customer needs to pay.

Retail Analytics: The in-store analytics platform gives insights about the evolving customer needs. Useful insights include headcount, queue analysis, heat maps, and spending patterns.

Read more: The Price of Personalization: Unpacking the Realities of Consumer-Brand Engagement in the Digital Age

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