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Self-learning systems based on artificial intelligence (AI) are revolutionizing many aspects of our lives. This also applies to the use of security cameras. With the help of artificial intelligence, they detect irregularities better and evaluate data faster and more accurately (for example, at the beach, in indoor and outdoor swimming pools, during baggage control and in road traffic).
In the bathroom
Israeli start-up Lynxight has developed a drowning detection system that detects swimming emergencies at an early stage. The cameras analyze swimmers’ movement profiles and detect swimmers in danger. When a swimmer tries to keep his head above water and struggles to breathe, AI-powered cameras detect these movements, which are typical movements of someone who is drowning.
They send an alarm signal to lifeguards, who receive it from their smartwatch. The cameras also count how many people are in the water and can distinguish between children and adults. In this way, you can alert the lifeguards when you suspect that there is an unattended child in the deep water pool.
If it is a false alarm, the lifeguard can report the situation using the smart watch. As a result, artificial intelligence learns and constantly improves. The system is currently used on beaches in Israel. Indoor and swimming pools in Germany are also testing artificial intelligence technology.
At airport
Amsterdam’s Schiphol Airport became the first airport in Europe to test an artificial intelligence system from US companies Pangiam and Google this year. Luggage scanners are equipped with artificial intelligence systems that help staff detect suspicious items much faster and without having to open the suitcase. Electronic devices or liquids no longer need to be placed separately on the luggage carousel.
The results of AI are still checked by trained security personnel. In case of doubt, it looks inside the trunk, gives feedback to the technology and helps it improve further. In the long run, this will greatly speed up and simplify control without compromising security.
in traffic
Thanks to artificial intelligence, traffic congestion predictions may become more accurate in the future. As CH Media reported in June, the Viasuisse transport service in Switzerland is working on relevant systems. One employee said it is only possible to a limited extent for people to collect all the data about traffic and use it to create different congestion estimates.
An AI, on the other hand, can generate more precise forecasts autonomously and with much less effort, not only taking into account traffic flow, but also based on weather conditions, school holidays and economic phases that have a positive or negative impact on travel behavior. .
Artificial intelligence systems are already being used for traffic in the city of Bangkok and the US states of Florida and Texas. As a result, predictions became up to 95 percent more accurate, especially at night and in confusing traffic conditions such as rain, snow and fog.
Source : Blick
I am Dawid Malan, a news reporter for 24 Instant News. I specialize in celebrity and entertainment news, writing stories that capture the attention of readers from all walks of life. My work has been featured in some of the world’s leading publications and I am passionate about delivering quality content to my readers.
