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16 September 2019

Face Recognition for Smart Home Locks – 3 Things to Look Out For

Smart locks generally don’t replace physical keys, but they do give you more control. If you equip the front door of your home with a smart lock, for example, you could:

  • Use keyless entry to enter your home when your hands are full with groceries
  • Check whether your door is open or closed, locked or unlocked, using an app
  • Lock and unlock your front door from a distance
  • Give limited-time access to friends, family, a babysitter, or someone else you want to allow into your house during a specific period

There are multiple ways to secure smart locks, and one of the options becoming increasingly popular is facial recognition technology.

Why choose facial recognition technology for securing smart home locks?

Face recognition is a form of biometric access control, along with other options such fingerprint recognition, iris scanning, voice recognition, and so on.

Biometrics are often chosen for the sake of convenience for the end user – no need to hand out duplicate keys or to remember pin codes or passwords. They’re often also regarded as being more secure – not least because they can be used in conjunction with another method as an added layer of security.

And one of the reasons why facial recognition is preferred to other biometric methods of access control for smart home locks is because it requires no contact. This makes it easy, convenient, and hygienic to use. Imagine trying to use a fingerprint scanner while your hands are full of groceries or while you have a child in your arms.

3 things to look for in face recognition software for smart home locks

Facial recognition technology comes in different forms. Therefore, when you’re choosing which facial recognition software to integrate with your smart home lock, there are a few important factors to consider:


This is a crucial aspect to consider, since you wouldn’t want a false positive identification to result in someone gaining unauthorized access to a home.

Some key questions to ask yourself when comparing the various options include:

  • How accurate is the software?
  • Does it work well across all nationalities?
  • Does it come with customizable confidence thresholds?
  • Can it detect whether it is a real person trying to unlock the smart lock, or can it be fooled by masks, photos, etc.?

Data storage and processing

The potential threat of theft of biometric data is real. It is therefore essential to ensure that any stored data is properly secured, and that the data is stored in such a way that if a breach does occur, the data cannot be used for malicious purposes.

There are numerous ways to protect biometric data, and some of the questions to ask in this context include:

  • In what format is the data stored?
  • Who can access the data?
  • Where is the data processed?

At Sightcorp, for example, we make sure that our software does not store any facial images. Instead, the images are converted to a faceprint, which is a unique code that cannot be linked to a specific individual.

Ease of integration

When choosing facial recognition software for your smart home lock, you want to make sure that you can easily integrate it with your product.

Some questions to ask here include:

  • Which platforms are supported?
  • What skills will be required to integrate the software into my product?

Now you know the most important features to look out for when choosing facial recognition software for your smart home locks. If you have any questions, or if you need more information, feel free to contact us.

By Sightcorp

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About the Author

Sightcorp is the anonymous audience analytics intelligence specialist for Digital Signage, DOOH, Out of Home Media, and In-Store Analytics. Making lightweight AI edge software solutions that bridge the gap between the online and real world. Providing anonymous in-store analytics to Retailers and powering the DOOH ecosystem with ad performance metrics for advertisers, real-time audience reach for media network owners, and an industry-recognized impression-based currency for programmatic advertising.