AI based video surveillance for retail

Video surveillance is not a new concept, it has been around for many years. Most business and organizations have now secured their premises with video surveillance. 

Video surveillance systems provide a way to monitor and record activity in a given area. They allow for the recording of 24/7 video footage which can be stored in the cloud or on a device.

CCTV footage generates astronomical amounts of data every day, a lot of which is never looked at until long after an event has happened.

Studies have shown that more than 80% of CCTV footage is never looked at until long after the event has happened. This is due to the high costs and time constraints of reviewing footage in real time. However, advances in artificial intelligence are finally making it possible to monitor CCTV footage all day, every day without human intervention.

Intelligent Video Surveillance: A Game-Changer for Businesses

The benefits of this type of system are vast, with smarter systems reducing human errors, as well as lowering the cost of operations by up to 50%. Intelligent video surveillance also improves awareness which can be critical when responding to incidents such as theft or accidents, intrusion & non-compliance.

With the integration of artificial intelligence into your camera network, you can generate immense insight from existing video data, which otherwise is impossible to analyze manually. These insights include:

  1. Unsanctioned entries to restricted areas, people count, teller door open & close time analysis.
  2. No of people entering the ATMs, Bank with Covered Face.
  3. Sites with maximum non-compliance to social distance norms
  4. Cleanliness across all premises
  5. Staff presence at desk, Security guard presence, uniform detection
  6. Customer engagement analysis with emotion score

With an intelligent video surveillance system, you can find hidden patterns that are otherwise invisible to a human operator. AI can look for patterns and track with increased accuracy & efficiency which enables human operators to be proactive and preventive.

Some common problems faced by conventional analytics platforms are that they lack the ability to learn and adapt, require expensive manual labor, can’t be easily implemented in edge devices due to heavy compute power requirement.

But with deep learning algorithms at work on 1000s of datasets of the same object, tested for accuracy, these challenges are resolved and can go beyond manual analysis and video log review.

Use of Intelligent Video Surveillance

A video surveillance system with AI makes a highly valuable investment for business and government entities that wish to improve security, efficiency while reducing cost.

AI-powered intelligent video surveillance when added to a camera system, can generate tremendous value for these organizations that often operate under tight budgets and demanding deadlines

For instance, public safety agencies can use this technology to proactively monitor the areas for changes in activity, which could indicate a breach in security before it happens rather than simply reacting after the fact.

It can also help businesses that are dependent on optimal resource utilization, For example, companies in the parking management space can better understand the available inventory in real-time using a video intelligence platform.

In addition, such a system can provide insights into the most frequently viewed product in the store on the marketing front.

AI-based video surveillance helps to increase business efficiency and it can even lessen the workload of security staff and management.

Some of the use cases across different segments are as below 

  1. Traffic management: Video analysis allows us to predict the number of cars and drivers on the road. It also helps us identify traffic violators and prevent accidents. We can identify any obstacles on highways and provide an alert for drivers pre-emptively through local visual message sign boards.
  1. Healthcare: Detect overcrowding in hospitals, Patient wait time analysis to minimize wait time in the emergency ward, it can even measure the patient and guest flow in the hospital. 
  1. Banking: AI solution with existing bank surveillance can greatly help banks prevent theft in ATMs and branches with early warnings & alert, AI detects for any anomalous behavior across 1000s of installed systems across the bank nonstop. 
  1. Retail: AI Based Video Surveillance for Retail helps by analyzing the consumer behaviour as they enter the shop and study their buying patterns or to the in-store movement of customers for better merchandising and store layout that drive conversion.

Conclusion

Video surveillance has been an integral part of the business world for decades. But until now, it was impossible for in-house security personnel to find a way to keep a watchful eye on every corner of their building or property. Now, AI powered video surveillance can change all that.

It is easy to install and configuration is fast and simple.

It is a cost-effective solution that won’t break the budget.

AI-powered video intelligence is a game-changer that provides real-time insights into events occurring on monitored properties to help staff react quickly and efficiently to incidents before they become problematic.

By Anurag Rathod

Anurag Rathod is an Editor of Appclonescript.com, who is passionate for app-based startup solutions and on-demand business ideas. He believes in spreading tech trends. He is an avid reader and loves thinking out of the box to promote new technologies.