Geozilla Blog 5 Emergency Situations ML-powered Wearables Can Rescue You from

In recent years, wearable technology has witnessed remarkable advancements, transforming the way we interact with the world around us. And its popularity continues to grow. From fitness trackers to smartwatches, these innovations have become integral parts of our daily lives. This is proved by the fact that in 2022, the number of connected wearable devices worldwide reached around 1.1 billion. What's more, the integration of machine learning (ML) capabilities into development has taken its functionality to a whole new level. ML-powered wearables go beyond mere convenience and entertainment, providing life-saving benefits in emergency situations. In this article, we highlight the top 5 life-threatening scenarios when smart devices and wearables fulfillment can save your or your loved ones' lives.Personal Safety GPS Tracking Devices Save Lives in Car CrashesGeoZilla technology integrated with users' personal safety devices enhances the way people drive. It provides streamlined monitoring that immediately identifies dangerous behavior. Customers get notified when the system tracks speeding, harsh braking, aggressive driving and more. This way, thanks to real-time alerts, users can avoid possible threats on the road and prevent themselves from car crashes.However, if the accident has already happened, safety devices would track it straight away. Your loved ones will get emergency alerts and will be able to rush to help you. Moreover, thanks to precise location tracking, it won't take time to find where you are. In situations, when every second matters, wearable personal safety devices can save your life and the lives of other people involved in the accident. GeoZilla's technology has already tracked almost 8,500 car crashes and helped hundreds of users not to become victims of road traffic.Safety Devices for Seniors Allow Quick Fall DetectionDo you have parents or relatives with mobility challenges or serious disabilities? Safety devices for elderly people can enhance the way they move around the city. Thanks to the fall detection feature, you can be sure that your loved ones feel well. ML-powered wearables equipped with advanced sensors can accurately detect any issues and promptly notify connected contacts in case of medical emergencies. Another reason to integrate GeoZilla app with safety devices for dementia patients is the opportunity to keep track of the location of your loved ones. Seniors with memory problems can easily get lost and forget where they are. After applying the GeoZilla solution, you'll be notified when your relative leaves a predefined area. Moreover, you'll be able to see their position in real-time, which allows providing quick help in case of an emergency.Health Monitoring Wearables Ensure Quick Help in Case of Heart AttackImpressively, but every year, about 805,000 people in the United States have a heart attack. At the same time, cardiac abnormalities usually strike suddenly, leaving people with limited time to seek medical help. If you care about personal safety and want to be sure that your loved ones are OK, using wearable medical devices is essential.Such ML-powered developments have built-in sensors that detect abnormal patterns indicative of potential heart issues. Because of the fact that machine learning algorithms get trained on vast datasets, it allows them to conduct comprehensive health monitoring, provide real-time alerts and notify connected people about the problem.Wearables as Medical Devices Notify About Epileptic Seizures ImmediatelyEpileptic seizures typically occur unexpectedly, making it challenging for people to seek assistance promptly. If you have serious health concerns, it would be best to choose personal safety devices. Wearables are suitable for women and men that usually stay at home or go for a walk alone. If an epileptic seizure happens, their loved ones get notified immediately and have an opportunity to provide urgent help.What's more, such ML-powered wearables have integrated accelerometers and biofeedback sensors that can detect seizures' unique movement patterns. This means that you'll be notified about the risk before the seizure starts. And once you need help, you can send SOS signals to the connected devices through the wearable.IoT wearables-devices that are Great to Find Lost Kids in a CityLet's start with statistics. In 2017, one out of every 293,800 kids under age 18 was reported missing on the belief they were abducted by a stranger. And no parents want this to happen to their child, which is the reason safety devices for kids are so popular.First, ML-powered wearables integrated with the GeoZilla app help track the location of your children if they go for a walk alone. You no longer need to worry about your kids playing outside, as the technology can notify you anytime they leave the safe areas that you've defined. What's more, you can get a comprehensive overview of where your children have been over the last 336 hours and identify whether they visit dangerous places.Second, safety devices will be helpful if your kid gets lost in the city. If you integrate your family's wearables with the GeoZilla app, you'll be able to see the real-time location of your child right on your smartphone. This will let you rescue a missed kid if a disaster has already happened. Third, personal safety GPS tracking devices, equipped with advanced sensors and connectivity features, provide a sense of security and peace of mind to parents. Whether it's a smartwatch or a health monitoring device, IoT wearables offer a range of functionalities to keep tabs on children's activities and health status. You can always ensure your children's well-being, offering a comforting layer of protection and reassurance for your kids.ConclusionML-powered wearables extended their capabilities beyond traditional features long ago. Now they serve as safety needle devices and present a promising avenue for enhanced emergency response. By leveraging advanced artificial intelligence and machine learning algorithms, wearables effectively detect and respond to critical situations, this way saving lives. As technology continues to evolve, the integration of ML in safety devices holds the potential to revolutionize emergency response and provide individuals with invaluable support during various situations. With the rapid advancements in life-saving wearables, we can look forward to a future where machine learning developments become indispensable companions for personal well-being.