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SmartData Collective > IT > Security > 3 Crucial Ways Smart Data Eliminates Home Security Threats
Big DataExclusiveSecurity

3 Crucial Ways Smart Data Eliminates Home Security Threats

Sean Mallon
Sean Mallon
8 Min Read
home security and big data
Shutterstock Licensed Photo - By metamorworks
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Alula recently wrote a great article on the intersection of big data and home security. A few years ago, this was a topic that was confined to the pages of science fiction books. However, big data has proven to be a very useful tool in home security in recent years.

Contents
Big Data Offers Powerful Solutions to Home Security RisksBig Data is Key to Home SecurityInvest in smart securityUse AI to find vulnerabilities in your entrancesUse CCTV tools that rely on big dataBig Data is the Key to Protecting Your Home

Homeowners should be aware of the benefits of big data when they want to make things more secure. They can use big data and machine learning for multiple uses. One benefit is that big data can help identify weak points in their home security that intruders can exploit. They can also use smart technology to control smart security tools.

Big Data Offers Powerful Solutions to Home Security Risks

Big data is changing our lives in very important ways. We have talked about the benefits of using big data to improve marketing and help us manage our financial lives. However, there are much more important benefits of big data that don’t get as much discussion.

The need for better home security solutions is becoming clearer. Markets and Markets found that the home security market will be worth $113 billion by 2021, which is a 50% increase from 2016. Big data is playing a big role in this.

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One of the benefits of big data is improving home security. You can’t put a price on peace of mind. Big data makes home security much more reliable.

Big Data is Key to Home Security

If you’ve recently heard of a string of burglaries in your city or neighborhood, you may want to consider updating your home security system to ensure that your house and family are safe. Even if you live in a gated neighborhood, there is still a chance that intruders could gain access, so you should make sure that everything is secure in your home before you leave the house for work or go on holiday. Big data can be very effective at stopping these threats.

Take a look at these top home security tips, which will help you feel at ease when you are at home or away. You will see how big data can be helpful, such as by helping with smart security

Invest in smart security

The best way to secure your is home is with smart technology, which has been developed to help individuals monitor their homes at all times. This includes devices like smart doorbells which can be connected to your smartphone and alerts you when any motion is detected near your home. This is perfect for people who work long days and want to keep an eye on their home, or can even be useful if you’re expecting a package, as some smart doorbells allow you to speak to the person at the door.

More and more properties are being fitted out with home automation tools like smart lighting, which are used to lower energy bills, reduce carbon emissions, and enhance security. RW Invest utilize this technology in their apartments to provide investors and tenants with secure and sustainable properties. Automated lighting can be used both inside and outside, the latter being the most effective as the light will turn on as soon as motion is detected. Other types of smart lighting, includes wireless lightbulbs, which can be operated via a smartphone app. If you’re away from home, you could switch on a light to create the illusion that someone is home, which should deter intruders.

Use AI to find vulnerabilities in your entrances

It is a good idea to do a multi-point inspection of your property for security risks. You will find that AI tools can be very helpful here. They can identify vulnerabilities that intruders would exploit.

Of course, using AI to detect the vulnerabilities is only the first step. AI can identify the threats, but it can’t fix them entirely on its own. One of the first things you need to check when securing your home is the entrances – which includes every door and window in your house. If you have old-style doors or windows, you should consider replacing them to prevent any intrusions. A cheaper option would be to update them, for example, if you feel as though your door isn’t burglar-proof you should install a deadbolt which will act as a deterrent should somebody try to enter your home illegally.

Many people have sliding doors in their home, usually used as an entrance to the back garden. Intruders love to use these as a gateway to your home, as they offer easy access. To prevent this from happening, you could use a traditional window bar to keep them out or get hi-tech with a glass breaking sensor which will alert you to an intrusion immediately.

Use CCTV tools that rely on big data

There are many ways you can prevent intruders from entering your home. A simple example is utilizing trees and plants to cover entrances which will act as a viewing block to anybody walking past your property. By creating obstacles in the surrounding areas of your home, you can deter any opportunists who are looking to make a quick steal.

If expenses aren’t an issue, you could consider investing in a high-quality CCTV system which will scare off anyone stepping foot near your front door. For something more affordable, you could try a dummy alarm box, which is a replica of an alarm system, although it has no siren. This can be effective; however, it may be an obvious trick to a veteran thief, so it may be best to invest in a proper alarm system just to be on the safe side.

Big Data is the Key to Protecting Your Home

You need to be careful about protecting your home. Big data has proven to be invaluable at safeguarding homes against intruders. A lot of new tools rely extensively on big data to stop would-be burglars from accessing your property.

TAGGED:big datadatahome securitysecuritysmart data
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BySean Mallon
Sean is a freelance writer and big data expert with a passion for exploring the depths of information that can be extracted from massive datasets. With years of experience in the field, he has developed a deep understanding of how data can be harnessed to drive insights and make informed decisions.

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