Much of the convenience and security that Smart Homes have claimed to promise has yet to become a reality. To understand why, consider that the technology behind a Smart Home historically required significant CPU power combined with a GPU or an accelerator chip to provide capabilities like object detection and face identification. To keep solutions affordable, today’s solutions are missing these advanced features.

Now the newest generation of AI tech will allow software engineers to get past those barriers. We refer to it as AI at the Edge. Not only does it drive costs down, it enables a whole new suite of enhanced object detection and face identification capabilities, making it possible to deliver a wide range of new products and services for Smart Homes.

Imagine a smarter home with computer vision AI.

A day in the life of a Smart Home

Consider the impact this could have in the day in the life of a future Smart Home dweller. We’ll call her Amy.

7:15 am

As Amy pulls out of her driveway, she’s confident that her security system will keep her home secure while she’s at work. When her husband leaves a little later, there’s just one other member of the family still at home: the family dog. Mr. Wiggles would do anything for his family, but as a ten-pound chihuahua, he isn’t much of a help in protecting their home.

The home’s security system recognizes Mr. Wiggles as a pet, so he doesn’t accidentally set off the motion detectors as he roams from room to room. Multiple cameras track him as he roams about the yard, but there’s no danger of Mr. Wiggles triggering a false alarm.

Later that afternoon, when someone approaches the front porch, the home uses facial recognition to determine if the individual is an authorized or unidentified person and monitors their movement. If they are lingering, the system can send Amy a notification or even engage an alarm system.

If they leave a package on the front porch, the system will recognize that there was an item left and notify Amy that there is a package waiting for her on her porch.

3:25 pm

When Amy’s son comes home from middle school, a smart doorbell recognizes his face. To open the door, all he has to do tell the smart doorbell to unlock the door. Amy receives a notification that her son has arrived at home and entered the house safely. Her son makes a beeline to the refrigerator and grabs a snack. An AI-enabled camera recognizes that the last hot pocket is gone and adds it to the virtual grocery list.

6:12 pm

As Amy pulls in the driveway, a camera recognizes the car and the license plate and opens the garage door. Amy’s arms are full of packages, but there’s no need for a key to get in. She simply tells the smart doorbell to open the door. The system confirms her identify via facial and voice recognition, deactivates the alarm, opens the door, turns on the lights, and adjusts the thermostat to her desired indoor temperature.

The AI that delivers on the promise of a Smart Home

Consider the Smart Home features highlighted in this story:

  • Being able to tell the difference between a family member, a stranger, and Mr. Wiggles
  • Locking or unlocking doors based on recognizing specific people
  • Sending an alert when an unidentified person is spending time around the house
  • Following objects across multiple cameras to track a subject moving from room to room
  • Identifying hundreds of inanimate objects including various types of food, vehicles and packages

All the capabilities featured in this story would have been difficult if not impossible to achieve without a new approach to AI.

Xnor’s combination of optimized pre-trained learning models and tuned algorithms give solution providers the power to deliver the functionality that makes Smart Homes smart. Visit us to learn more.

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