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Intriguing Ways to Use AI Video Surveillance Across Industries
If there’s one thing we’ve learned about AI in the previous several years, it’s good at local jobs. Computer vision isn’t always about training computers to view the environment as we (humans) do. The goal is to allow computers to record, evaluate, and learn about the human environment.
AI’s usefulness comes from applying computer intelligence skills like object identification, movement detection, and monitoring or counting objects/people to the correct application. It’s no surprise that AI video surveillance and sensor data have become a hotspot for new services across sectors.
While we frequently think about real-time AI security camera systems in terms of security or surveillance, the ai video surveillance industry is developing due to a rising number of use cases. Medical apps, sports analysis, intelligent factories, traffic control, and even agricultural drones are among them.
Improved alert accuracy
Conventional motion detection systems have always been vulnerable to false alerts. They have difficulty distinguishing between a child riding by on a bicycle or rustling leaves during a windstorm and a legitimate security threat. The result is that security staff become so inundated with these alarms that they eventually stop paying attention entirely. AI-equipped surveillance systems can not only distinguish between people, objects, and vehicles at a fine level of granularity but also detect actions that warrant suspicion, such as the same person walking repeatedly back and forth in front of an exit door. The result is that AI-enhanced alerts are more meaningful, which makes it easier for guards and responders to concentrate on the ones that matter.
Better object recognition
The 2013 Boston Marathon bombing was caused by two booby-trapped backpacks left on a sidewalk. Unattended bags have long been regarded as a security threat but they aren’t easily picked up by motion detectors. AI-equipped surveillance not only enables objects to be identified with a high degree of precision but also classified according to factors like shape, size, and the likelihood that they belong to nearby people. Smart cameras can even look for suspicious bulges or protrusions that indicate that an otherwise ordinary object has been modified or contains dangerous items.
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Crowd dynamics
AI-enabled surveillance can measure crowd density and alert event organizers and building managers when certain thresholds are breached. People who aren’t wearing masks in violation of health protocols can be spotted and asked to comply. Inside the office, staggered work schedules can be maintained with the help of facial recognition that verifies that employees are where they are supposed to be. There are also more common uses, such as identifying traffic jams before they become gridlock or detecting long lines forming at concession stands and alerting event organizers to dispatch more resources to serve waiting customers.




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Enhanced authentication
The quality of facial recognition software is now so high that machines can achieve accuracy scores of up to 99.97%, according to the National Institute of Standards and Technology. Facial recognition software is now good enough to act as a powerful companion to conventional access control systems such as key cards and passcodes, which are vulnerable to being stolen or spoofed. Seamless authentication can also improve the customer experience. VIPs visiting a company can be whisked through security without delay and presented with customized messaging like greetings and directions to a meeting.
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Improved customer experiences
Video surveillance is no longer the purview of security alone. Cameras mounted in retail stores can enhance customer experience by improving traffic flows, identifying bottlenecks, and even streamlining the shopping experience. For example, Smart Retail solutions now include checkout-free stores with no cashiers, no self-checkout hassles, and no waiting. Instead, cameras and image recognition software identify each of the products in a shopper’s cart, enabling customers to simply walk out of the store with their purchased items. AI-enabled video can spot anomalies, such as a person wandering back and forth in apparent confusion, and dispatch an employee to help. Or it can identify an important shopper as she enters the store and alert staff to roll out the red carpet.
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